* [MAQAO] Info: Detected 1 Lprof instances in isix06.benchmarkcenter.megware.com.
If this is incorrect, rerun with number-processes-per-node=X
OMP: pid 7409 tid 7409 thread 0 bound to OS proc set {0}
OMP: pid 7409 tid 7422 thread 1 bound to OS proc set {32}
OMP: pid 7409 tid 7426 thread 3 bound to OS proc set {96}
OMP: pid 7409 tid 7424 thread 2 bound to OS proc set {64}
OMP: pid 7409 tid 7428 thread 4 bound to OS proc set {128}
OMP: pid 7409 tid 7430 thread 5 bound to OS proc set {160}
what is a LLM? and why should I care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that uses natural language processing (NLP) to analyze and generate human-like text. It's like a super-smart language translator, but instead of just translating words, it can understand and respond to complex conversations, write essays, and even create creative content like stories and poems.
LLMs are trained on massive amounts of text data, which allows them to learn patterns, relationships, and nuances of language. This training enables them to generate text that's coherent, contextual, and often surprisingly accurate.
You should care about LLMs for several reasons:
1. **Improved writing and communication**: LLMs can assist writers, journalists, and students with research, grammar, and even entire drafts. They can help with language translation, summarization, and even generate ideas.
2. **Enhanced customer service**: LLM-powered chatbots can provide 24/7 support, answer frequently asked questions, and even engage in more complex conversations, freeing human customer support agents to focus on more critical issues.
3. **Content creation**: LLMs can generate high-quality content, such as articles, social media posts, and even entire books. This can be a game-changer for content marketers, bloggers, and authors.
4. **Language translation**: LLMs can translate languages more accurately and efficiently than traditional translation software, making it easier for people to communicate across languages and cultures.
5. **Research and analysis**: LLMs can help analyze large datasets, identify patterns, and even generate insights, which can be a valuable tool for researchers, scientists, and business analysts.
6. **Accessibility and inclusivity**: LLMs can assist people with disabilities, such as those with autism or dyslexia, by providing a more accessible way to communicate and learn.
7. **Job market and economy**: As LLMs become more prevalent, new job opportunities will emerge, such as LLM developer, trainer, and evaluator. This will also lead to changes in the job market, with some roles becoming obsolete while others become more important.
However, it's essential to acknowledge the potential risks and challenges associated with LLMs, such as:
* **Bias and fairness**: LLMs can perpetuate biases and stereotypes present in the training data, which can lead to unfair outcomes.
* **Job displacement**: As LLMs automate certain tasks, there's a risk of job displacement, particularly in industries that rely heavily on writing, translation
Your experiment path is /beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_0
To display your profiling results:
###########################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
###########################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_0 #
# Functions | Per-node | maqao lprof -df -dn xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_0 #
# Functions | Per-process | maqao lprof -df -dp xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_0 #
# Functions | Per-thread | maqao lprof -df -dt xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_0 #
# Loops | Cluster-wide | maqao lprof -dl xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_0 #
# Loops | Per-node | maqao lprof -dl -dn xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_0 #
# Loops | Per-process | maqao lprof -dl -dp xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_0 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_0 #
###########################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in isix06.benchmarkcenter.megware.com.
If this is incorrect, rerun with number-processes-per-node=X
OMP: pid 7491 tid 7491 thread 0 bound to OS proc set {0}
OMP: pid 7491 tid 7502 thread 1 bound to OS proc set {194}
OMP: pid 7491 tid 7564 thread 32 bound to OS proc set {277}
OMP: pid 7491 tid 7568 thread 34 bound to OS proc set {282}
OMP: pid 7491 tid 7506 thread 3 bound to OS proc set {8}
OMP: pid 7491 tid 7504 thread 2 bound to OS proc set {5}
OMP: pid 7491 tid 7524 thread 12 bound to OS proc set {32}
OMP: pid 7491 tid 7508 thread 4 bound to OS proc set {202}
OMP: pid 7491 tid 7596 thread 48 bound to OS proc set {128}
OMP: pid 7491 tid 7636 thread 68 bound to OS proc set {373}
OMP: pid 7491 tid 7634 thread 67 bound to OS proc set {179}
OMP: pid 7491 tid 7628 thread 64 bound to OS proc set {171}
OMP: pid 7491 tid 7604 thread 52 bound to OS proc set {139}
OMP: pid 7491 tid 7580 thread 40 bound to OS proc set {298}
OMP: pid 7491 tid 7632 thread 66 bound to OS proc set {176}
OMP: pid 7491 tid 7608 thread 54 bound to OS proc set {144}
OMP: pid 7491 tid 7576 thread 38 bound to OS proc set {293}
OMP: pid 7491 tid 7588 thread 44 bound to OS proc set {309}
OMP: pid 7491 tid 7582 thread 41 bound to OS proc set {301}
OMP: pid 7491 tid 7578 thread 39 bound to OS proc set {104}
OMP: pid 7491 tid 7598 thread 49 bound to OS proc set {131}
OMP: pid 7491 tid 7574 thread 37 bound to OS proc set {290}
OMP: pid 7491 tid 7600 thread 50 bound to OS proc set {325}
OMP: pid 7491 tid 7572 thread 36 bound to OS proc set {96}
OMP: pid 7491 tid 7586 thread 43 bound to OS proc set {306}
OMP: pid 7491 tid 7566 thread 33 bound to OS proc set {88}
OMP: pid 7491 tid 7540 thread 20 bound to OS proc set {53}
OMP: pid 7491 tid 7538 thread 19 bound to OS proc set {242}
OMP: pid 7491 tid 7642 thread 71 bound to OS proc set {381}
OMP: pid 7491 tid 7570 thread 35 bound to OS proc set {285}
OMP: pid 7491 tid 7638 thread 69 bound to OS proc set {184}
OMP: pid 7491 tid 7532 thread 16 bound to OS proc set {234}
OMP: pid 7491 tid 7534 thread 17 bound to OS proc set {45}
OMP: pid 7491 tid 7536 thread 18 bound to OS proc set {48}
OMP: pid 7491 tid 7516 thread 8 bound to OS proc set {21}
OMP: pid 7491 tid 7518 thread 9 bound to OS proc set {24}
OMP: pid 7491 tid 7514 thread 7 bound to OS proc set {210}
OMP: pid 7491 tid 7526 thread 13 bound to OS proc set {226}
OMP: pid 7491 tid 7512 thread 6 bound to OS proc set {16}
OMP: pid 7491 tid 7520 thread 10 bound to OS proc set {218}
OMP: pid 7491 tid 7522 thread 11 bound to OS proc set {29}
OMP: pid 7491 tid 7510 thread 5 bound to OS proc set {13}
OMP: pid 7491 tid 7640 thread 70 bound to OS proc set {187}
OMP: pid 7491 tid 7548 thread 24 bound to OS proc set {64}
OMP: pid 7491 tid 7606 thread 53 bound to OS proc set {333}
OMP: pid 7491 tid 7610 thread 55 bound to OS proc set {147}
OMP: pid 7491 tid 7620 thread 60 bound to OS proc set {160}
OMP: pid 7491 tid 7602 thread 51 bound to OS proc set {136}
OMP: pid 7491 tid 7544 thread 22 bound to OS proc set {250}
OMP: pid 7491 tid 7592 thread 46 bound to OS proc set {314}
OMP: pid 7491 tid 7556 thread 28 bound to OS proc set {266}
OMP: pid 7491 tid 7590 thread 45 bound to OS proc set {120}
OMP: pid 7491 tid 7622 thread 61 bound to OS proc set {163}
OMP: pid 7491 tid 7584 thread 42 bound to OS proc set {112}
OMP: pid 7491 tid 7630 thread 65 bound to OS proc set {365}
OMP: pid 7491 tid 7562 thread 31 bound to OS proc set {274}
OMP: pid 7491 tid 7594 thread 47 bound to OS proc set {317}
OMP: pid 7491 tid 7542 thread 21 bound to OS proc set {56}
OMP: pid 7491 tid 7530 thread 15 bound to OS proc set {40}
OMP: pid 7491 tid 7528 thread 14 bound to OS proc set {37}
OMP: pid 7491 tid 7546 thread 23 bound to OS proc set {61}
OMP: pid 7491 tid 7550 thread 25 bound to OS proc set {258}
OMP: pid 7491 tid 7554 thread 27 bound to OS proc set {72}
OMP: pid 7491 tid 7558 thread 29 bound to OS proc set {269}
OMP: pid 7491 tid 7552 thread 26 bound to OS proc set {261}
OMP: pid 7491 tid 7626 thread 63 bound to OS proc set {168}
OMP: pid 7491 tid 7616 thread 58 bound to OS proc set {155}
OMP: pid 7491 tid 7618 thread 59 bound to OS proc set {349}
OMP: pid 7491 tid 7560 thread 30 bound to OS proc set {80}
OMP: pid 7491 tid 7624 thread 62 bound to OS proc set {357}
OMP: pid 7491 tid 7612 thread 56 bound to OS proc set {341}
OMP: pid 7491 tid 7614 thread 57 bound to OS proc set {152}
what is a LLM? and why should I care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that uses natural language processing (NLP) to analyze and generate human-like text. It's like a super-smart language translator, but instead of just translating words, it can understand and respond to complex conversations, write essays, and even create creative content like stories and poems.
LLMs are trained on massive amounts of text data, which allows them to learn patterns, relationships, and nuances of language. This training enables them to generate text that's coherent, contextual, and often surprisingly accurate.
You should care about LLMs for several reasons:
1. **Improved writing and communication**: LLMs can assist writers, journalists, and students with research, grammar, and even entire drafts. They can help with language translation, summarization, and even generate ideas.
2. **Enhanced customer service**: LLM-powered chatbots can provide 24/7 support, answer frequently asked questions, and even engage in more complex conversations, freeing human customer support agents to focus on more critical issues.
3. **Content creation**: LLMs can generate high-quality content, such as articles, social media posts, and even entire books. This can be a game-changer for content marketers, bloggers, and authors.
4. **Language translation**: LLMs can translate languages more accurately and efficiently than traditional translation software, making it easier for people to communicate across languages and cultures.
5. **Research and analysis**: LLMs can help analyze large datasets, identify patterns, and even generate insights, which can be a valuable tool for researchers, scientists, and business analysts.
6. **Accessibility and inclusivity**: LLMs can assist people with disabilities, such as those with autism or dyslexia, by providing a more accessible way to communicate and learn.
7. **Job market and economy**: As LLMs become more prevalent, new job opportunities will emerge, such as LLM developer, trainer, and evaluator. This will also lead to changes in the job market, with some roles becoming obsolete while others become more important.
However, it's essential to acknowledge the potential risks and challenges associated with LLMs, such as:
* **Bias and fairness**: LLMs can perpetuate biases and stereotypes present in the training data, which can lead to unfair outcomes.
* **Job displacement**: As LLMs automate certain tasks, there's a risk of job displacement, particularly in industries that rely heavily on writing, translation
Your experiment path is /beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_1
To display your profiling results:
###########################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
###########################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_1 #
# Functions | Per-node | maqao lprof -df -dn xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_1 #
# Functions | Per-process | maqao lprof -df -dp xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_1 #
# Functions | Per-thread | maqao lprof -df -dt xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_1 #
# Loops | Cluster-wide | maqao lprof -dl xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_1 #
# Loops | Per-node | maqao lprof -dl -dn xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_1 #
# Loops | Per-process | maqao lprof -dl -dp xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_1 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_1 #
###########################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in isix06.benchmarkcenter.megware.com.
If this is incorrect, rerun with number-processes-per-node=X
OMP: pid 7701 tid 7701 thread 0 bound to OS proc set {0}
OMP: pid 7701 tid 7742 thread 16 bound to OS proc set {32}
OMP: pid 7701 tid 7746 thread 18 bound to OS proc set {36}
OMP: pid 7701 tid 7714 thread 2 bound to OS proc set {4}
OMP: pid 7701 tid 7838 thread 64 bound to OS proc set {128}
OMP: pid 7701 tid 7712 thread 1 bound to OS proc set {2}
OMP: pid 7701 tid 7842 thread 66 bound to OS proc set {132}
OMP: pid 7701 tid 7718 thread 4 bound to OS proc set {8}
OMP: pid 7701 tid 7730 thread 10 bound to OS proc set {20}
OMP: pid 7701 tid 7736 thread 13 bound to OS proc set {26}
OMP: pid 7701 tid 7738 thread 14 bound to OS proc set {28}
OMP: pid 7701 tid 7716 thread 3 bound to OS proc set {6}
OMP: pid 7701 tid 7732 thread 11 bound to OS proc set {22}
OMP: pid 7701 tid 7726 thread 8 bound to OS proc set {16}
OMP: pid 7701 tid 7874 thread 82 bound to OS proc set {164}
OMP: pid 7701 tid 7750 thread 20 bound to OS proc set {40}
OMP: pid 7701 tid 7748 thread 19 bound to OS proc set {38}
OMP: pid 7701 tid 7758 thread 24 bound to OS proc set {48}
OMP: pid 7701 tid 7806 thread 48 bound to OS proc set {96}
OMP: pid 7701 tid 7740 thread 15 bound to OS proc set {30}
OMP: pid 7701 tid 7812 thread 51 bound to OS proc set {102}
OMP: pid 7701 tid 7774 thread 32 bound to OS proc set {64}
OMP: pid 7701 tid 7764 thread 27 bound to OS proc set {54}
OMP: pid 7701 tid 7870 thread 80 bound to OS proc set {160}
OMP: pid 7701 tid 7768 thread 29 bound to OS proc set {58}
OMP: pid 7701 tid 7808 thread 49 bound to OS proc set {98}
OMP: pid 7701 tid 7852 thread 71 bound to OS proc set {142}
OMP: pid 7701 tid 7846 thread 68 bound to OS proc set {136}
OMP: pid 7701 tid 7840 thread 65 bound to OS proc set {130}
OMP: pid 7701 tid 7864 thread 77 bound to OS proc set {154}
OMP: pid 7701 tid 7854 thread 72 bound to OS proc set {144}
OMP: pid 7701 tid 7752 thread 21 bound to OS proc set {42}
OMP: pid 7701 tid 7770 thread 30 bound to OS proc set {60}
OMP: pid 7701 tid 7856 thread 73 bound to OS proc set {146}
OMP: pid 7701 tid 7766 thread 28 bound to OS proc set {56}
OMP: pid 7701 tid 7744 thread 17 bound to OS proc set {34}
OMP: pid 7701 tid 7860 thread 75 bound to OS proc set {150}
OMP: pid 7701 tid 7862 thread 76 bound to OS proc set {152}
OMP: pid 7701 tid 7848 thread 69 bound to OS proc set {138}
OMP: pid 7701 tid 7868 thread 79 bound to OS proc set {158}
OMP: pid 7701 tid 7890 thread 90 bound to OS proc set {180}
OMP: pid 7701 tid 7818 thread 54 bound to OS proc set {108}
OMP: pid 7701 tid 7844 thread 67 bound to OS proc set {134}
OMP: pid 7701 tid 7814 thread 52 bound to OS proc set {104}
OMP: pid 7701 tid 7892 thread 91 bound to OS proc set {182}
OMP: pid 7701 tid 7878 thread 84 bound to OS proc set {168}
OMP: pid 7701 tid 7872 thread 81 bound to OS proc set {162}
OMP: pid 7701 tid 7886 thread 88 bound to OS proc set {176}
OMP: pid 7701 tid 7900 thread 95 bound to OS proc set {190}
OMP: pid 7701 tid 7734 thread 12 bound to OS proc set {24}
OMP: pid 7701 tid 7898 thread 94 bound to OS proc set {188}
OMP: pid 7701 tid 7762 thread 26 bound to OS proc set {52}
OMP: pid 7701 tid 7772 thread 31 bound to OS proc set {62}
OMP: pid 7701 tid 7720 thread 5 bound to OS proc set {10}
OMP: pid 7701 tid 7882 thread 86 bound to OS proc set {172}
OMP: pid 7701 tid 7728 thread 9 bound to OS proc set {18}
OMP: pid 7701 tid 7894 thread 92 bound to OS proc set {184}
OMP: pid 7701 tid 7722 thread 6 bound to OS proc set {12}
OMP: pid 7701 tid 7896 thread 93 bound to OS proc set {186}
OMP: pid 7701 tid 7884 thread 87 bound to OS proc set {174}
OMP: pid 7701 tid 7880 thread 85 bound to OS proc set {170}
OMP: pid 7701 tid 7888 thread 89 bound to OS proc set {178}
OMP: pid 7701 tid 7820 thread 55 bound to OS proc set {110}
OMP: pid 7701 tid 7776 thread 33 bound to OS proc set {66}
OMP: pid 7701 tid 7778 thread 34 bound to OS proc set {68}
OMP: pid 7701 tid 7754 thread 22 bound to OS proc set {44}
OMP: pid 7701 tid 7756 thread 23 bound to OS proc set {46}
OMP: pid 7701 tid 7858 thread 74 bound to OS proc set {148}
OMP: pid 7701 tid 7850 thread 70 bound to OS proc set {140}
OMP: pid 7701 tid 7876 thread 83 bound to OS proc set {166}
OMP: pid 7701 tid 7816 thread 53 bound to OS proc set {106}
OMP: pid 7701 tid 7780 thread 35 bound to OS proc set {70}
OMP: pid 7701 tid 7800 thread 45 bound to OS proc set {90}
OMP: pid 7701 tid 7830 thread 60 bound to OS proc set {120}
OMP: pid 7701 tid 7822 thread 56 bound to OS proc set {112}
OMP: pid 7701 tid 7798 thread 44 bound to OS proc set {88}
OMP: pid 7701 tid 7802 thread 46 bound to OS proc set {92}
OMP: pid 7701 tid 7810 thread 50 bound to OS proc set {100}
OMP: pid 7701 tid 7826 thread 58 bound to OS proc set {116}
OMP: pid 7701 tid 7792 thread 41 bound to OS proc set {82}
OMP: pid 7701 tid 7782 thread 36 bound to OS proc set {72}
OMP: pid 7701 tid 7790 thread 40 bound to OS proc set {80}
OMP: pid 7701 tid 7760 thread 25 bound to OS proc set {50}
OMP: pid 7701 tid 7866 thread 78 bound to OS proc set {156}
OMP: pid 7701 tid 7788 thread 39 bound to OS proc set {78}
OMP: pid 7701 tid 7784 thread 37 bound to OS proc set {74}
OMP: pid 7701 tid 7824 thread 57 bound to OS proc set {114}
OMP: pid 7701 tid 7724 thread 7 bound to OS proc set {14}
OMP: pid 7701 tid 7836 thread 63 bound to OS proc set {126}
OMP: pid 7701 tid 7828 thread 59 bound to OS proc set {118}
OMP: pid 7701 tid 7794 thread 42 bound to OS proc set {84}
OMP: pid 7701 tid 7832 thread 61 bound to OS proc set {122}
OMP: pid 7701 tid 7834 thread 62 bound to OS proc set {124}
OMP: pid 7701 tid 7796 thread 43 bound to OS proc set {86}
OMP: pid 7701 tid 7804 thread 47 bound to OS proc set {94}
OMP: pid 7701 tid 7786 thread 38 bound to OS proc set {76}
what is a LLM? and why should I care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that uses natural language processing (NLP) to analyze and generate human-like text. It's like a super-smart language translator, but instead of just translating words, it can understand and respond to complex conversations, write essays, and even create creative content like stories and poems.
LLMs are trained on massive amounts of text data, which allows them to learn patterns, relationships, and nuances of language. This training enables them to generate text that's coherent, contextual, and often surprisingly accurate.
You should care about LLMs for several reasons:
1. **Improved writing and communication**: LLMs can assist writers, journalists, and students with research, grammar, and even entire drafts. They can help with language translation, summarization, and even generate ideas.
2. **Enhanced customer service**: LLM-powered chatbots can provide 24/7 support, answer frequently asked questions, and even engage in more complex conversations, freeing human customer support agents to focus on more critical issues.
3. **Content creation**: LLMs can generate high-quality content, such as articles, social media posts, and even entire books. This can be a game-changer for content marketers, bloggers, and authors.
4. **Language translation**: LLMs can translate languages more accurately and efficiently than traditional translation software, making it easier for people to communicate across languages and cultures.
5. **Research and analysis**: LLMs can help analyze large datasets, identify patterns, and even generate insights, which can be a valuable tool for researchers, scientists, and business analysts.
6. **Accessibility and inclusivity**: LLMs can assist people with disabilities, such as those with autism or dyslexia, by providing a more accessible way to communicate and learn.
7. **Job market and economy**: As LLMs become more prevalent, new job opportunities will emerge, such as LLM developer, trainer, and evaluator. This will also lead to changes in the job market, with some roles becoming obsolete while others become more important.
However, it's essential to acknowledge the potential risks and challenges associated with LLMs, such as:
* **Bias and fairness**: LLMs can perpetuate biases and stereotypes present in the training data, which can lead to unfair outcomes.
* **Job displacement**: As LLMs automate certain tasks, there's a risk of job displacement, particularly in industries that rely heavily on writing, translation
Your experiment path is /beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_2
To display your profiling results:
###########################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
###########################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_2 #
# Functions | Per-node | maqao lprof -df -dn xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_2 #
# Functions | Per-process | maqao lprof -df -dp xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_2 #
# Functions | Per-thread | maqao lprof -df -dt xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_2 #
# Loops | Cluster-wide | maqao lprof -dl xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_2 #
# Loops | Per-node | maqao lprof -dl -dn xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_2 #
# Loops | Per-process | maqao lprof -dl -dp xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_2 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_2 #
###########################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in isix06.benchmarkcenter.megware.com.
If this is incorrect, rerun with number-processes-per-node=X
OMP: pid 7957 tid 7957 thread 0 bound to OS proc set {0}
OMP: pid 7957 tid 7973 thread 1 bound to OS proc set {193}
OMP: pid 7957 tid 7977 thread 3 bound to OS proc set {196}
OMP: pid 7957 tid 8003 thread 16 bound to OS proc set {217}
OMP: pid 7957 tid 7979 thread 4 bound to OS proc set {6}
OMP: pid 7957 tid 8005 thread 17 bound to OS proc set {27}
OMP: pid 7957 tid 8067 thread 48 bound to OS proc set {77}
OMP: pid 7957 tid 8099 thread 64 bound to OS proc set {294}
OMP: pid 7957 tid 8035 thread 32 bound to OS proc set {51}
OMP: pid 7957 tid 8115 thread 72 bound to OS proc set {307}
OMP: pid 7957 tid 8019 thread 24 bound to OS proc set {230}
OMP: pid 7957 tid 7995 thread 12 bound to OS proc set {19}
OMP: pid 7957 tid 8051 thread 40 bound to OS proc set {64}
OMP: pid 7957 tid 8073 thread 51 bound to OS proc set {273}
OMP: pid 7957 tid 7987 thread 8 bound to OS proc set {204}
OMP: pid 7957 tid 8107 thread 68 bound to OS proc set {109}
OMP: pid 7957 tid 8055 thread 42 bound to OS proc set {67}
OMP: pid 7957 tid 8169 thread 99 bound to OS proc set {350}
OMP: pid 7957 tid 8187 thread 108 bound to OS proc set {173}
OMP: pid 7957 tid 8083 thread 56 bound to OS proc set {281}
OMP: pid 7957 tid 8171 thread 100 bound to OS proc set {160}
OMP: pid 7957 tid 8039 thread 34 bound to OS proc set {246}
OMP: pid 7957 tid 8163 thread 96 bound to OS proc set {154}
OMP: pid 7957 tid 8165 thread 97 bound to OS proc set {347}
OMP: pid 7957 tid 8109 thread 69 bound to OS proc set {302}
OMP: pid 7957 tid 8111 thread 70 bound to OS proc set {112}
OMP: pid 7957 tid 7989 thread 9 bound to OS proc set {14}
OMP: pid 7957 tid 7975 thread 2 bound to OS proc set {3}
OMP: pid 7957 tid 8113 thread 71 bound to OS proc set {305}
OMP: pid 7957 tid 8173 thread 101 bound to OS proc set {162}
OMP: pid 7957 tid 8175 thread 102 bound to OS proc set {355}
OMP: pid 7957 tid 7993 thread 11 bound to OS proc set {209}
OMP: pid 7957 tid 8179 thread 104 bound to OS proc set {358}
OMP: pid 7957 tid 8193 thread 111 bound to OS proc set {178}
OMP: pid 7957 tid 8181 thread 105 bound to OS proc set {168}
OMP: pid 7957 tid 8009 thread 19 bound to OS proc set {30}
OMP: pid 7957 tid 8089 thread 59 bound to OS proc set {286}
OMP: pid 7957 tid 8177 thread 103 bound to OS proc set {165}
OMP: pid 7957 tid 7981 thread 5 bound to OS proc set {8}
OMP: pid 7957 tid 8001 thread 15 bound to OS proc set {24}
OMP: pid 7957 tid 8037 thread 33 bound to OS proc set {244}
OMP: pid 7957 tid 8025 thread 27 bound to OS proc set {43}
OMP: pid 7957 tid 8041 thread 35 bound to OS proc set {56}
OMP: pid 7957 tid 7997 thread 13 bound to OS proc set {212}
OMP: pid 7957 tid 8117 thread 73 bound to OS proc set {117}
OMP: pid 7957 tid 7985 thread 7 bound to OS proc set {11}
OMP: pid 7957 tid 8119 thread 74 bound to OS proc set {310}
OMP: pid 7957 tid 8095 thread 62 bound to OS proc set {99}
OMP: pid 7957 tid 8121 thread 75 bound to OS proc set {120}
OMP: pid 7957 tid 8123 thread 76 bound to OS proc set {313}
OMP: pid 7957 tid 8105 thread 67 bound to OS proc set {107}
OMP: pid 7957 tid 8183 thread 106 bound to OS proc set {170}
OMP: pid 7957 tid 8185 thread 107 bound to OS proc set {363}
OMP: pid 7957 tid 8131 thread 80 bound to OS proc set {128}
OMP: pid 7957 tid 8135 thread 82 bound to OS proc set {323}
OMP: pid 7957 tid 8139 thread 84 bound to OS proc set {326}
OMP: pid 7957 tid 8137 thread 83 bound to OS proc set {133}
OMP: pid 7957 tid 7999 thread 14 bound to OS proc set {22}
OMP: pid 7957 tid 8085 thread 57 bound to OS proc set {91}
OMP: pid 7957 tid 8069 thread 49 bound to OS proc set {270}
OMP: pid 7957 tid 8021 thread 25 bound to OS proc set {40}
OMP: pid 7957 tid 8071 thread 50 bound to OS proc set {80}
OMP: pid 7957 tid 8087 thread 58 bound to OS proc set {93}
OMP: pid 7957 tid 8043 thread 36 bound to OS proc set {249}
OMP: pid 7957 tid 8045 thread 37 bound to OS proc set {59}
OMP: pid 7957 tid 8143 thread 86 bound to OS proc set {329}
OMP: pid 7957 tid 8011 thread 20 bound to OS proc set {32}
OMP: pid 7957 tid 8125 thread 77 bound to OS proc set {315}
OMP: pid 7957 tid 8127 thread 78 bound to OS proc set {125}
OMP: pid 7957 tid 8133 thread 81 bound to OS proc set {321}
OMP: pid 7957 tid 8141 thread 85 bound to OS proc set {136}
OMP: pid 7957 tid 8091 thread 60 bound to OS proc set {96}
OMP: pid 7957 tid 8147 thread 88 bound to OS proc set {141}
OMP: pid 7957 tid 8167 thread 98 bound to OS proc set {157}
OMP: pid 7957 tid 8191 thread 110 bound to OS proc set {176}
OMP: pid 7957 tid 8053 thread 41 bound to OS proc set {257}
OMP: pid 7957 tid 8195 thread 112 bound to OS proc set {371}
OMP: pid 7957 tid 8075 thread 52 bound to OS proc set {83}
OMP: pid 7957 tid 8103 thread 66 bound to OS proc set {297}
OMP: pid 7957 tid 8027 thread 28 bound to OS proc set {236}
OMP: pid 7957 tid 8057 thread 43 bound to OS proc set {260}
OMP: pid 7957 tid 8047 thread 38 bound to OS proc set {252}
OMP: pid 7957 tid 8101 thread 65 bound to OS proc set {104}
OMP: pid 7957 tid 8059 thread 44 bound to OS proc set {262}
OMP: pid 7957 tid 8049 thread 39 bound to OS proc set {254}
OMP: pid 7957 tid 8017 thread 23 bound to OS proc set {228}
OMP: pid 7957 tid 8061 thread 45 bound to OS proc set {72}
OMP: pid 7957 tid 8063 thread 46 bound to OS proc set {265}
OMP: pid 7957 tid 8093 thread 61 bound to OS proc set {289}
OMP: pid 7957 tid 8031 thread 30 bound to OS proc set {48}
OMP: pid 7957 tid 8029 thread 29 bound to OS proc set {238}
OMP: pid 7957 tid 8023 thread 26 bound to OS proc set {233}
OMP: pid 7957 tid 8197 thread 113 bound to OS proc set {181}
OMP: pid 7957 tid 8199 thread 114 bound to OS proc set {374}
OMP: pid 7957 tid 8015 thread 22 bound to OS proc set {35}
OMP: pid 7957 tid 8007 thread 18 bound to OS proc set {220}
OMP: pid 7957 tid 8189 thread 109 bound to OS proc set {366}
OMP: pid 7957 tid 8129 thread 79 bound to OS proc set {318}
OMP: pid 7957 tid 8097 thread 63 bound to OS proc set {101}
OMP: pid 7957 tid 8033 thread 31 bound to OS proc set {241}
OMP: pid 7957 tid 8145 thread 87 bound to OS proc set {331}
OMP: pid 7957 tid 8013 thread 21 bound to OS proc set {225}
OMP: pid 7957 tid 8155 thread 92 bound to OS proc set {339}
OMP: pid 7957 tid 7983 thread 6 bound to OS proc set {201}
OMP: pid 7957 tid 7991 thread 10 bound to OS proc set {16}
OMP: pid 7957 tid 8159 thread 94 bound to OS proc set {342}
OMP: pid 7957 tid 8161 thread 95 bound to OS proc set {152}
OMP: pid 7957 tid 8079 thread 54 bound to OS proc set {278}
OMP: pid 7957 tid 8201 thread 115 bound to OS proc set {184}
OMP: pid 7957 tid 8151 thread 90 bound to OS proc set {144}
OMP: pid 7957 tid 8077 thread 53 bound to OS proc set {85}
OMP: pid 7957 tid 8081 thread 55 bound to OS proc set {88}
OMP: pid 7957 tid 8065 thread 47 bound to OS proc set {75}
OMP: pid 7957 tid 8149 thread 89 bound to OS proc set {334}
OMP: pid 7957 tid 8153 thread 91 bound to OS proc set {337}
OMP: pid 7957 tid 8203 thread 116 bound to OS proc set {186}
OMP: pid 7957 tid 8157 thread 93 bound to OS proc set {149}
OMP: pid 7957 tid 8209 thread 119 bound to OS proc set {382}
OMP: pid 7957 tid 8205 thread 117 bound to OS proc set {379}
OMP: pid 7957 tid 8207 thread 118 bound to OS proc set {189}
what is a LLM? and why should I care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that uses natural language processing (NLP) to analyze and generate human-like text. It's like a super-smart language translator, but instead of just translating words, it can understand and respond to complex conversations, write essays, and even create creative content like stories and poems.
LLMs are trained on massive amounts of text data, which allows them to learn patterns, relationships, and nuances of language. This training enables them to generate text that's coherent, contextual, and often surprisingly accurate.
You should care about LLMs for several reasons:
1. **Improved writing and communication**: LLMs can assist writers, journalists, and students with research, grammar, and even entire drafts. They can help with language translation, summarization, and even generate ideas.
2. **Enhanced customer service**: LLM-powered chatbots can provide 24/7 support, answer frequently asked questions, and even engage in more complex conversations, freeing human customer support agents to focus on more critical issues.
3. **Content creation**: LLMs can generate high-quality content, such as articles, social media posts, and even entire books. This can be a game-changer for content marketers, bloggers, and authors.
4. **Language translation**: LLMs can translate languages more accurately and efficiently than traditional translation software, making it easier for people to communicate across languages and cultures.
5. **Research and analysis**: LLMs can help analyze large datasets, identify patterns, and even generate insights, which can be a valuable tool for researchers, scientists, and business analysts.
6. **Accessibility and inclusivity**: LLMs can assist people with disabilities, such as those with autism or dyslexia, by providing a more accessible way to communicate and learn.
7. **Job market and economy**: As LLMs become more prevalent, new job opportunities will emerge, such as LLM developer, trainer, and evaluator. This will also lead to changes in the job market, with some roles becoming obsolete while others become more important.
However, it's essential to acknowledge the potential risks and challenges associated with LLMs, such as:
* **Bias and fairness**: LLMs can perpetuate biases and stereotypes present in the training data, which can lead to unfair outcomes.
* **Job displacement**: As LLMs automate certain tasks, there's a risk of job displacement, particularly in industries that rely heavily on writing, translation
Your experiment path is /beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_3
To display your profiling results:
###########################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
###########################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_3 #
# Functions | Per-node | maqao lprof -df -dn xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_3 #
# Functions | Per-process | maqao lprof -df -dp xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_3 #
# Functions | Per-thread | maqao lprof -df -dt xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_3 #
# Loops | Cluster-wide | maqao lprof -dl xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_3 #
# Loops | Per-node | maqao lprof -dl -dn xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_3 #
# Loops | Per-process | maqao lprof -dl -dp xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_3 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_3 #
###########################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in isix06.benchmarkcenter.megware.com.
If this is incorrect, rerun with number-processes-per-node=X
OMP: pid 8267 tid 8267 thread 0 bound to OS proc set {0}
OMP: pid 8267 tid 8342 thread 32 bound to OS proc set {48}
OMP: pid 8267 tid 8280 thread 1 bound to OS proc set {193}
OMP: pid 8267 tid 8344 thread 33 bound to OS proc set {241}
OMP: pid 8267 tid 8284 thread 3 bound to OS proc set {196}
OMP: pid 8267 tid 8308 thread 15 bound to OS proc set {214}
OMP: pid 8267 tid 8316 thread 19 bound to OS proc set {220}
OMP: pid 8267 tid 8286 thread 4 bound to OS proc set {6}
OMP: pid 8267 tid 8374 thread 48 bound to OS proc set {72}
OMP: pid 8267 tid 8358 thread 40 bound to OS proc set {60}
OMP: pid 8267 tid 8346 thread 34 bound to OS proc set {51}
OMP: pid 8267 tid 8406 thread 64 bound to OS proc set {96}
OMP: pid 8267 tid 8410 thread 66 bound to OS proc set {99}
OMP: pid 8267 tid 8348 thread 35 bound to OS proc set {244}
OMP: pid 8267 tid 8350 thread 36 bound to OS proc set {54}
OMP: pid 8267 tid 8366 thread 44 bound to OS proc set {66}
OMP: pid 8267 tid 8408 thread 65 bound to OS proc set {289}
OMP: pid 8267 tid 8302 thread 12 bound to OS proc set {18}
OMP: pid 8267 tid 8336 thread 29 bound to OS proc set {235}
OMP: pid 8267 tid 8378 thread 50 bound to OS proc set {75}
OMP: pid 8267 tid 8294 thread 8 bound to OS proc set {12}
OMP: pid 8267 tid 8334 thread 28 bound to OS proc set {42}
OMP: pid 8267 tid 8282 thread 2 bound to OS proc set {3}
OMP: pid 8267 tid 8452 thread 87 bound to OS proc set {322}
OMP: pid 8267 tid 8356 thread 39 bound to OS proc set {250}
OMP: pid 8267 tid 8438 thread 80 bound to OS proc set {120}
OMP: pid 8267 tid 8440 thread 81 bound to OS proc set {313}
OMP: pid 8267 tid 8310 thread 16 bound to OS proc set {24}
OMP: pid 8267 tid 8296 thread 9 bound to OS proc set {205}
OMP: pid 8267 tid 8444 thread 83 bound to OS proc set {316}
OMP: pid 8267 tid 8352 thread 37 bound to OS proc set {247}
OMP: pid 8267 tid 8300 thread 11 bound to OS proc set {208}
OMP: pid 8267 tid 8414 thread 68 bound to OS proc set {102}
OMP: pid 8267 tid 8450 thread 86 bound to OS proc set {129}
OMP: pid 8267 tid 8306 thread 14 bound to OS proc set {21}
OMP: pid 8267 tid 8502 thread 112 bound to OS proc set {168}
OMP: pid 8267 tid 8442 thread 82 bound to OS proc set {123}
OMP: pid 8267 tid 8420 thread 71 bound to OS proc set {298}
OMP: pid 8267 tid 8446 thread 84 bound to OS proc set {126}
OMP: pid 8267 tid 8364 thread 43 bound to OS proc set {256}
OMP: pid 8267 tid 8448 thread 85 bound to OS proc set {319}
OMP: pid 8267 tid 8312 thread 17 bound to OS proc set {217}
OMP: pid 8267 tid 8326 thread 24 bound to OS proc set {36}
OMP: pid 8267 tid 8314 thread 18 bound to OS proc set {27}
OMP: pid 8267 tid 8292 thread 7 bound to OS proc set {202}
OMP: pid 8267 tid 8304 thread 13 bound to OS proc set {211}
OMP: pid 8267 tid 8462 thread 92 bound to OS proc set {138}
OMP: pid 8267 tid 8368 thread 45 bound to OS proc set {259}
OMP: pid 8267 tid 8390 thread 56 bound to OS proc set {84}
OMP: pid 8267 tid 8376 thread 49 bound to OS proc set {265}
OMP: pid 8267 tid 8398 thread 60 bound to OS proc set {90}
OMP: pid 8267 tid 8382 thread 52 bound to OS proc set {78}
OMP: pid 8267 tid 8458 thread 90 bound to OS proc set {135}
OMP: pid 8267 tid 8354 thread 38 bound to OS proc set {57}
OMP: pid 8267 tid 8328 thread 25 bound to OS proc set {229}
OMP: pid 8267 tid 8416 thread 69 bound to OS proc set {295}
OMP: pid 8267 tid 8360 thread 41 bound to OS proc set {253}
OMP: pid 8267 tid 8484 thread 103 bound to OS proc set {346}
OMP: pid 8267 tid 8340 thread 31 bound to OS proc set {238}
OMP: pid 8267 tid 8330 thread 26 bound to OS proc set {39}
OMP: pid 8267 tid 8506 thread 114 bound to OS proc set {171}
OMP: pid 8267 tid 8472 thread 97 bound to OS proc set {337}
OMP: pid 8267 tid 8362 thread 42 bound to OS proc set {63}
OMP: pid 8267 tid 8454 thread 88 bound to OS proc set {132}
OMP: pid 8267 tid 8470 thread 96 bound to OS proc set {144}
OMP: pid 8267 tid 8474 thread 98 bound to OS proc set {147}
OMP: pid 8267 tid 8456 thread 89 bound to OS proc set {325}
OMP: pid 8267 tid 8428 thread 75 bound to OS proc set {304}
OMP: pid 8267 tid 8498 thread 110 bound to OS proc set {165}
OMP: pid 8267 tid 8494 thread 108 bound to OS proc set {162}
OMP: pid 8267 tid 8392 thread 57 bound to OS proc set {277}
OMP: pid 8267 tid 8394 thread 58 bound to OS proc set {87}
OMP: pid 8267 tid 8480 thread 101 bound to OS proc set {343}
OMP: pid 8267 tid 8478 thread 100 bound to OS proc set {150}
OMP: pid 8267 tid 8400 thread 61 bound to OS proc set {283}
OMP: pid 8267 tid 8380 thread 51 bound to OS proc set {268}
OMP: pid 8267 tid 8388 thread 55 bound to OS proc set {274}
OMP: pid 8267 tid 8384 thread 53 bound to OS proc set {271}
OMP: pid 8267 tid 8430 thread 76 bound to OS proc set {114}
OMP: pid 8267 tid 8434 thread 78 bound to OS proc set {117}
OMP: pid 8267 tid 8482 thread 102 bound to OS proc set {153}
OMP: pid 8267 tid 8432 thread 77 bound to OS proc set {307}
OMP: pid 8267 tid 8412 thread 67 bound to OS proc set {292}
OMP: pid 8267 tid 8500 thread 111 bound to OS proc set {358}
OMP: pid 8267 tid 8524 thread 123 bound to OS proc set {376}
OMP: pid 8267 tid 8422 thread 72 bound to OS proc set {108}
OMP: pid 8267 tid 8338 thread 30 bound to OS proc set {45}
OMP: pid 8267 tid 8436 thread 79 bound to OS proc set {310}
OMP: pid 8267 tid 8426 thread 74 bound to OS proc set {111}
OMP: pid 8267 tid 8418 thread 70 bound to OS proc set {105}
OMP: pid 8267 tid 8522 thread 122 bound to OS proc set {183}
OMP: pid 8267 tid 8424 thread 73 bound to OS proc set {301}
OMP: pid 8267 tid 8508 thread 115 bound to OS proc set {364}
OMP: pid 8267 tid 8518 thread 120 bound to OS proc set {180}
OMP: pid 8267 tid 8318 thread 20 bound to OS proc set {30}
OMP: pid 8267 tid 8288 thread 5 bound to OS proc set {199}
OMP: pid 8267 tid 8370 thread 46 bound to OS proc set {69}
OMP: pid 8267 tid 8372 thread 47 bound to OS proc set {262}
OMP: pid 8267 tid 8298 thread 10 bound to OS proc set {15}
OMP: pid 8267 tid 8516 thread 119 bound to OS proc set {370}
OMP: pid 8267 tid 8514 thread 118 bound to OS proc set {177}
OMP: pid 8267 tid 8290 thread 6 bound to OS proc set {9}
OMP: pid 8267 tid 8526 thread 124 bound to OS proc set {186}
OMP: pid 8267 tid 8510 thread 116 bound to OS proc set {174}
OMP: pid 8267 tid 8322 thread 22 bound to OS proc set {33}
OMP: pid 8267 tid 8320 thread 21 bound to OS proc set {223}
OMP: pid 8267 tid 8332 thread 27 bound to OS proc set {232}
OMP: pid 8267 tid 8530 thread 126 bound to OS proc set {189}
OMP: pid 8267 tid 8386 thread 54 bound to OS proc set {81}
OMP: pid 8267 tid 8468 thread 95 bound to OS proc set {334}
OMP: pid 8267 tid 8466 thread 94 bound to OS proc set {141}
OMP: pid 8267 tid 8496 thread 109 bound to OS proc set {355}
OMP: pid 8267 tid 8520 thread 121 bound to OS proc set {373}
OMP: pid 8267 tid 8404 thread 63 bound to OS proc set {286}
OMP: pid 8267 tid 8464 thread 93 bound to OS proc set {331}
OMP: pid 8267 tid 8460 thread 91 bound to OS proc set {328}
OMP: pid 8267 tid 8486 thread 104 bound to OS proc set {156}
OMP: pid 8267 tid 8488 thread 105 bound to OS proc set {349}
OMP: pid 8267 tid 8490 thread 106 bound to OS proc set {159}
OMP: pid 8267 tid 8324 thread 23 bound to OS proc set {226}
OMP: pid 8267 tid 8476 thread 99 bound to OS proc set {340}
OMP: pid 8267 tid 8504 thread 113 bound to OS proc set {361}
OMP: pid 8267 tid 8396 thread 59 bound to OS proc set {280}
OMP: pid 8267 tid 8402 thread 62 bound to OS proc set {93}
OMP: pid 8267 tid 8532 thread 127 bound to OS proc set {382}
OMP: pid 8267 tid 8528 thread 125 bound to OS proc set {379}
OMP: pid 8267 tid 8492 thread 107 bound to OS proc set {352}
OMP: pid 8267 tid 8512 thread 117 bound to OS proc set {367}
what is a LLM? and why should I care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that uses natural language processing (NLP) to analyze and generate human-like text. It's like a super-smart language translator, but instead of just translating words, it can understand and respond to complex conversations, write essays, and even create creative content like stories and poems.
LLMs are trained on massive amounts of text data, which allows them to learn patterns, relationships, and nuances of language. This training enables them to generate text that's coherent, contextual, and often surprisingly accurate.
You should care about LLMs for several reasons:
1. **Improved writing and communication**: LLMs can assist writers, journalists, and students with research, grammar, and even entire drafts. They can help with language translation, summarization, and even generate ideas.
2. **Enhanced customer service**: LLM-powered chatbots can provide 24/7 support, answer frequently asked questions, and even engage in more complex conversations, freeing human customer support agents to focus on more critical issues.
3. **Content creation**: LLMs can generate high-quality content, such as articles, social media posts, and even entire books. This can be a game-changer for content marketers, bloggers, and authors.
4. **Language translation**: LLMs can translate languages more accurately and efficiently than traditional translation software, making it easier for people to communicate across languages and cultures.
5. **Research and analysis**: LLMs can help analyze large datasets, identify patterns, and even generate insights, which can be a valuable tool for researchers, scientists, and business analysts.
6. **Accessibility and inclusivity**: LLMs can assist people with disabilities, such as those with autism or dyslexia, by providing a more accessible way to communicate and learn.
7. **Job market and economy**: As LLMs become more prevalent, new job opportunities will emerge, such as LLM developer, trainer, and evaluator. This will also lead to changes in the job market, with some roles becoming obsolete while others become more important.
However, it's essential to acknowledge the potential risks and challenges associated with LLMs, such as:
* **Bias and fairness**: LLMs can perpetuate biases and stereotypes present in the training data, which can lead to unfair outcomes.
* **Job displacement**: As LLMs automate certain tasks, there's a risk of job displacement, particularly in industries that rely heavily on writing, translation
Your experiment path is /beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_4
To display your profiling results:
###########################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
###########################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_4 #
# Functions | Per-node | maqao lprof -df -dn xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_4 #
# Functions | Per-process | maqao lprof -df -dp xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_4 #
# Functions | Per-thread | maqao lprof -df -dt xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_4 #
# Loops | Cluster-wide | maqao lprof -dl xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_4 #
# Loops | Per-node | maqao lprof -dl -dn xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_4 #
# Loops | Per-process | maqao lprof -dl -dp xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_4 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_4 #
###########################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in isix06.benchmarkcenter.megware.com.
If this is incorrect, rerun with number-processes-per-node=X
OMP: pid 8589 tid 8589 thread 0 bound to OS proc set {0}
OMP: pid 8589 tid 8603 thread 4 bound to OS proc set {5}
OMP: pid 8589 tid 8599 thread 2 bound to OS proc set {194}
OMP: pid 8589 tid 8597 thread 1 bound to OS proc set {1}
OMP: pid 8589 tid 8601 thread 3 bound to OS proc set {4}
OMP: pid 8589 tid 8691 thread 48 bound to OS proc set {64}
OMP: pid 8589 tid 8609 thread 7 bound to OS proc set {9}
OMP: pid 8589 tid 8639 thread 22 bound to OS proc set {29}
OMP: pid 8589 tid 8637 thread 21 bound to OS proc set {28}
OMP: pid 8589 tid 8611 thread 8 bound to OS proc set {202}
OMP: pid 8589 tid 8641 thread 23 bound to OS proc set {222}
OMP: pid 8589 tid 8853 thread 129 bound to OS proc set {172}
OMP: pid 8589 tid 8851 thread 128 bound to OS proc set {171}
OMP: pid 8589 tid 8787 thread 96 bound to OS proc set {128}
OMP: pid 8589 tid 8633 thread 19 bound to OS proc set {25}
OMP: pid 8589 tid 8789 thread 97 bound to OS proc set {321}
OMP: pid 8589 tid 8625 thread 15 bound to OS proc set {20}
OMP: pid 8589 tid 8627 thread 16 bound to OS proc set {21}
OMP: pid 8589 tid 8607 thread 6 bound to OS proc set {8}
OMP: pid 8589 tid 8659 thread 32 bound to OS proc set {234}
OMP: pid 8589 tid 8727 thread 66 bound to OS proc set {88}
OMP: pid 8589 tid 8665 thread 35 bound to OS proc set {238}
OMP: pid 8589 tid 8707 thread 56 bound to OS proc set {266}
OMP: pid 8589 tid 8731 thread 68 bound to OS proc set {282}
OMP: pid 8589 tid 8693 thread 49 bound to OS proc set {257}
OMP: pid 8589 tid 8695 thread 50 bound to OS proc set {258}
OMP: pid 8589 tid 8723 thread 64 bound to OS proc set {277}
OMP: pid 8589 tid 8751 thread 78 bound to OS proc set {104}
OMP: pid 8589 tid 8631 thread 18 bound to OS proc set {24}
OMP: pid 8589 tid 8661 thread 33 bound to OS proc set {44}
OMP: pid 8589 tid 8663 thread 34 bound to OS proc set {45}
OMP: pid 8589 tid 8649 thread 27 bound to OS proc set {36}
OMP: pid 8589 tid 8669 thread 37 bound to OS proc set {49}
OMP: pid 8589 tid 8753 thread 79 bound to OS proc set {297}
OMP: pid 8589 tid 8643 thread 24 bound to OS proc set {32}
OMP: pid 8589 tid 8859 thread 132 bound to OS proc set {176}
OMP: pid 8589 tid 8861 thread 133 bound to OS proc set {369}
OMP: pid 8589 tid 8667 thread 36 bound to OS proc set {48}
OMP: pid 8589 tid 8857 thread 131 bound to OS proc set {175}
OMP: pid 8589 tid 8621 thread 13 bound to OS proc set {17}
OMP: pid 8589 tid 8863 thread 134 bound to OS proc set {179}
OMP: pid 8589 tid 8865 thread 135 bound to OS proc set {180}
OMP: pid 8589 tid 8613 thread 9 bound to OS proc set {12}
OMP: pid 8589 tid 8619 thread 12 bound to OS proc set {16}
OMP: pid 8589 tid 8673 thread 39 bound to OS proc set {52}
OMP: pid 8589 tid 8697 thread 51 bound to OS proc set {68}
OMP: pid 8589 tid 8699 thread 52 bound to OS proc set {261}
OMP: pid 8589 tid 8629 thread 17 bound to OS proc set {214}
OMP: pid 8589 tid 8735 thread 70 bound to OS proc set {285}
OMP: pid 8589 tid 8715 thread 60 bound to OS proc set {80}
OMP: pid 8589 tid 8605 thread 5 bound to OS proc set {198}
OMP: pid 8589 tid 8647 thread 26 bound to OS proc set {226}
OMP: pid 8589 tid 8747 thread 76 bound to OS proc set {293}
OMP: pid 8589 tid 8645 thread 25 bound to OS proc set {33}
OMP: pid 8589 tid 8817 thread 111 bound to OS proc set {148}
OMP: pid 8589 tid 8749 thread 77 bound to OS proc set {294}
OMP: pid 8589 tid 8733 thread 69 bound to OS proc set {92}
OMP: pid 8589 tid 8803 thread 104 bound to OS proc set {139}
OMP: pid 8589 tid 8615 thread 10 bound to OS proc set {13}
OMP: pid 8589 tid 8809 thread 107 bound to OS proc set {143}
OMP: pid 8589 tid 8635 thread 20 bound to OS proc set {218}
OMP: pid 8589 tid 8705 thread 55 bound to OS proc set {265}
OMP: pid 8589 tid 8813 thread 109 bound to OS proc set {337}
OMP: pid 8589 tid 8811 thread 108 bound to OS proc set {144}
OMP: pid 8589 tid 8617 thread 11 bound to OS proc set {206}
OMP: pid 8589 tid 8623 thread 14 bound to OS proc set {210}
OMP: pid 8589 tid 8683 thread 44 bound to OS proc set {250}
OMP: pid 8589 tid 8687 thread 46 bound to OS proc set {61}
OMP: pid 8589 tid 8689 thread 47 bound to OS proc set {254}
OMP: pid 8589 tid 8675 thread 40 bound to OS proc set {53}
OMP: pid 8589 tid 8815 thread 110 bound to OS proc set {147}
OMP: pid 8589 tid 8655 thread 30 bound to OS proc set {40}
OMP: pid 8589 tid 8677 thread 41 bound to OS proc set {246}
OMP: pid 8589 tid 8681 thread 43 bound to OS proc set {57}
OMP: pid 8589 tid 8679 thread 42 bound to OS proc set {56}
OMP: pid 8589 tid 8805 thread 105 bound to OS proc set {140}
OMP: pid 8589 tid 8807 thread 106 bound to OS proc set {333}
OMP: pid 8589 tid 8671 thread 38 bound to OS proc set {242}
OMP: pid 8589 tid 8717 thread 61 bound to OS proc set {273}
OMP: pid 8589 tid 8719 thread 62 bound to OS proc set {274}
OMP: pid 8589 tid 8721 thread 63 bound to OS proc set {84}
OMP: pid 8589 tid 8653 thread 29 bound to OS proc set {230}
OMP: pid 8589 tid 8739 thread 72 bound to OS proc set {96}
OMP: pid 8589 tid 8745 thread 75 bound to OS proc set {100}
OMP: pid 8589 tid 8867 thread 136 bound to OS proc set {373}
OMP: pid 8589 tid 8875 thread 140 bound to OS proc set {187}
OMP: pid 8589 tid 8855 thread 130 bound to OS proc set {365}
OMP: pid 8589 tid 8761 thread 83 bound to OS proc set {302}
OMP: pid 8589 tid 8757 thread 81 bound to OS proc set {108}
OMP: pid 8589 tid 8763 thread 84 bound to OS proc set {112}
OMP: pid 8589 tid 8657 thread 31 bound to OS proc set {41}
OMP: pid 8589 tid 8767 thread 86 bound to OS proc set {306}
OMP: pid 8589 tid 8743 thread 74 bound to OS proc set {290}
OMP: pid 8589 tid 8685 thread 45 bound to OS proc set {60}
OMP: pid 8589 tid 8779 thread 92 bound to OS proc set {314}
OMP: pid 8589 tid 8881 thread 143 bound to OS proc set {191}
OMP: pid 8589 tid 8819 thread 112 bound to OS proc set {341}
OMP: pid 8589 tid 8651 thread 28 bound to OS proc set {37}
OMP: pid 8589 tid 8755 thread 80 bound to OS proc set {298}
OMP: pid 8589 tid 8791 thread 98 bound to OS proc set {131}
OMP: pid 8589 tid 8879 thread 142 bound to OS proc set {381}
OMP: pid 8589 tid 8795 thread 100 bound to OS proc set {325}
OMP: pid 8589 tid 8793 thread 99 bound to OS proc set {132}
OMP: pid 8589 tid 8825 thread 115 bound to OS proc set {345}
OMP: pid 8589 tid 8797 thread 101 bound to OS proc set {135}
OMP: pid 8589 tid 8837 thread 121 bound to OS proc set {353}
OMP: pid 8589 tid 8841 thread 123 bound to OS proc set {164}
OMP: pid 8589 tid 8835 thread 120 bound to OS proc set {160}
OMP: pid 8589 tid 8869 thread 137 bound to OS proc set {183}
OMP: pid 8589 tid 8843 thread 124 bound to OS proc set {357}
OMP: pid 8589 tid 8847 thread 126 bound to OS proc set {168}
OMP: pid 8589 tid 8871 thread 138 bound to OS proc set {184}
OMP: pid 8589 tid 8845 thread 125 bound to OS proc set {167}
OMP: pid 8589 tid 8849 thread 127 bound to OS proc set {361}
OMP: pid 8589 tid 8873 thread 139 bound to OS proc set {377}
OMP: pid 8589 tid 8711 thread 58 bound to OS proc set {269}
OMP: pid 8589 tid 8709 thread 57 bound to OS proc set {76}
OMP: pid 8589 tid 8713 thread 59 bound to OS proc set {270}
OMP: pid 8589 tid 8737 thread 71 bound to OS proc set {286}
OMP: pid 8589 tid 8701 thread 53 bound to OS proc set {262}
OMP: pid 8589 tid 8725 thread 65 bound to OS proc set {278}
OMP: pid 8589 tid 8703 thread 54 bound to OS proc set {72}
OMP: pid 8589 tid 8729 thread 67 bound to OS proc set {281}
OMP: pid 8589 tid 8829 thread 117 bound to OS proc set {156}
OMP: pid 8589 tid 8827 thread 116 bound to OS proc set {155}
OMP: pid 8589 tid 8833 thread 119 bound to OS proc set {159}
OMP: pid 8589 tid 8823 thread 114 bound to OS proc set {152}
OMP: pid 8589 tid 8821 thread 113 bound to OS proc set {151}
OMP: pid 8589 tid 8765 thread 85 bound to OS proc set {305}
OMP: pid 8589 tid 8781 thread 93 bound to OS proc set {124}
OMP: pid 8589 tid 8783 thread 94 bound to OS proc set {317}
OMP: pid 8589 tid 8759 thread 82 bound to OS proc set {301}
OMP: pid 8589 tid 8785 thread 95 bound to OS proc set {318}
OMP: pid 8589 tid 8799 thread 102 bound to OS proc set {136}
OMP: pid 8589 tid 8769 thread 87 bound to OS proc set {116}
OMP: pid 8589 tid 8771 thread 88 bound to OS proc set {309}
OMP: pid 8589 tid 8773 thread 89 bound to OS proc set {310}
OMP: pid 8589 tid 8775 thread 90 bound to OS proc set {120}
OMP: pid 8589 tid 8777 thread 91 bound to OS proc set {313}
OMP: pid 8589 tid 8831 thread 118 bound to OS proc set {349}
OMP: pid 8589 tid 8741 thread 73 bound to OS proc set {289}
OMP: pid 8589 tid 8877 thread 141 bound to OS proc set {188}
OMP: pid 8589 tid 8801 thread 103 bound to OS proc set {329}
OMP: pid 8589 tid 8839 thread 122 bound to OS proc set {163}
what is a LLM? and why should I care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that uses natural language processing (NLP) to analyze and generate human-like text. It's like a super-smart language translator, but instead of just translating words, it can understand and respond to complex conversations, write essays, and even create creative content like stories and poems.
LLMs are trained on massive amounts of text data, which allows them to learn patterns, relationships, and nuances of language. This training enables them to generate text that's coherent, contextual, and often surprisingly accurate.
You should care about LLMs for several reasons:
1. **Improved writing and communication**: LLMs can assist writers, journalists, and students with research, grammar, and even entire drafts. They can help with language translation, summarization, and even generate ideas.
2. **Enhanced customer service**: LLM-powered chatbots can provide 24/7 support, answer frequently asked questions, and even engage in more complex conversations, freeing human customer support agents to focus on more critical issues.
3. **Content creation**: LLMs can generate high-quality content, such as articles, social media posts, and even entire books. This can be a game-changer for content marketers, bloggers, and authors.
4. **Language translation**: LLMs can translate languages more accurately and efficiently than traditional translation software, making it easier for people to communicate across languages and cultures.
5. **Research and analysis**: LLMs can help analyze large datasets, identify patterns, and even generate insights, which can be a valuable tool for researchers, scientists, and business analysts.
6. **Accessibility and inclusivity**: LLMs can assist people with disabilities, such as those with autism or dyslexia, by providing a more accessible way to communicate and learn.
7. **Job market and economy**: As LLMs become more prevalent, new job opportunities will emerge, such as LLM developer, trainer, and evaluator. This will also lead to changes in the job market, with some roles becoming obsolete while others become more important.
However, it's essential to acknowledge the potential risks and challenges associated with LLMs, such as:
* **Bias and fairness**: LLMs can perpetuate biases and stereotypes present in the training data, which can lead to unfair outcomes.
* **Job displacement**: As LLMs automate certain tasks, there's a risk of job displacement, particularly in industries that rely heavily on writing, translation
Your experiment path is /beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_5
To display your profiling results:
###########################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
###########################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_5 #
# Functions | Per-node | maqao lprof -df -dn xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_5 #
# Functions | Per-process | maqao lprof -df -dp xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_5 #
# Functions | Per-thread | maqao lprof -df -dt xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_5 #
# Loops | Cluster-wide | maqao lprof -dl xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_5 #
# Loops | Per-node | maqao lprof -dl -dn xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_5 #
# Loops | Per-process | maqao lprof -dl -dp xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_5 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_5 #
###########################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in isix06.benchmarkcenter.megware.com.
If this is incorrect, rerun with number-processes-per-node=X
OMP: pid 8938 tid 8938 thread 0 bound to OS proc set {0}
OMP: pid 8938 tid 9009 thread 32 bound to OS proc set {228}
OMP: pid 8938 tid 8951 thread 3 bound to OS proc set {3}
OMP: pid 8938 tid 8953 thread 4 bound to OS proc set {196}
OMP: pid 8938 tid 8947 thread 1 bound to OS proc set {1}
OMP: pid 8938 tid 8961 thread 8 bound to OS proc set {9}
OMP: pid 8938 tid 8949 thread 2 bound to OS proc set {2}
OMP: pid 8938 tid 8965 thread 10 bound to OS proc set {11}
OMP: pid 8938 tid 9041 thread 48 bound to OS proc set {55}
OMP: pid 8938 tid 9065 thread 60 bound to OS proc set {260}
OMP: pid 8938 tid 9073 thread 64 bound to OS proc set {73}
OMP: pid 8938 tid 8999 thread 27 bound to OS proc set {222}
OMP: pid 8938 tid 8981 thread 18 bound to OS proc set {212}
OMP: pid 8938 tid 9019 thread 37 bound to OS proc set {42}
OMP: pid 8938 tid 9201 thread 128 bound to OS proc set {338}
OMP: pid 8938 tid 9007 thread 31 bound to OS proc set {227}
OMP: pid 8938 tid 9017 thread 36 bound to OS proc set {41}
OMP: pid 8938 tid 9207 thread 131 bound to OS proc set {150}
OMP: pid 8938 tid 9203 thread 129 bound to OS proc set {339}
OMP: pid 8938 tid 9205 thread 130 bound to OS proc set {340}
OMP: pid 8938 tid 9075 thread 65 bound to OS proc set {74}
OMP: pid 8938 tid 9233 thread 144 bound to OS proc set {165}
OMP: pid 8938 tid 9011 thread 33 bound to OS proc set {229}
OMP: pid 8938 tid 9013 thread 34 bound to OS proc set {230}
OMP: pid 8938 tid 9027 thread 41 bound to OS proc set {238}
OMP: pid 8938 tid 9025 thread 40 bound to OS proc set {237}
OMP: pid 8938 tid 9029 thread 42 bound to OS proc set {48}
OMP: pid 8938 tid 9033 thread 44 bound to OS proc set {50}
OMP: pid 8938 tid 9035 thread 45 bound to OS proc set {243}
OMP: pid 8938 tid 8997 thread 26 bound to OS proc set {221}
OMP: pid 8938 tid 9235 thread 145 bound to OS proc set {166}
OMP: pid 8938 tid 9241 thread 148 bound to OS proc set {361}
OMP: pid 8938 tid 9243 thread 149 bound to OS proc set {362}
OMP: pid 8938 tid 9239 thread 147 bound to OS proc set {168}
OMP: pid 8938 tid 9249 thread 152 bound to OS proc set {174}
OMP: pid 8938 tid 9247 thread 151 bound to OS proc set {173}
OMP: pid 8938 tid 9253 thread 154 bound to OS proc set {176}
OMP: pid 8938 tid 8975 thread 15 bound to OS proc set {17}
OMP: pid 8938 tid 9255 thread 155 bound to OS proc set {369}
OMP: pid 8938 tid 8977 thread 16 bound to OS proc set {18}
OMP: pid 8938 tid 8993 thread 24 bound to OS proc set {27}
OMP: pid 8938 tid 9015 thread 35 bound to OS proc set {40}
OMP: pid 8938 tid 8971 thread 13 bound to OS proc set {206}
OMP: pid 8938 tid 9003 thread 29 bound to OS proc set {33}
OMP: pid 8938 tid 9001 thread 28 bound to OS proc set {32}
OMP: pid 8938 tid 9225 thread 140 bound to OS proc set {160}
OMP: pid 8938 tid 8963 thread 9 bound to OS proc set {10}
OMP: pid 8938 tid 9231 thread 143 bound to OS proc set {355}
OMP: pid 8938 tid 8983 thread 19 bound to OS proc set {213}
OMP: pid 8938 tid 9057 thread 56 bound to OS proc set {64}
OMP: pid 8938 tid 9061 thread 58 bound to OS proc set {66}
OMP: pid 8938 tid 8979 thread 17 bound to OS proc set {19}
OMP: pid 8938 tid 8995 thread 25 bound to OS proc set {220}
OMP: pid 8938 tid 8969 thread 12 bound to OS proc set {205}
OMP: pid 8938 tid 8989 thread 22 bound to OS proc set {25}
OMP: pid 8938 tid 8985 thread 20 bound to OS proc set {214}
OMP: pid 8938 tid 8967 thread 11 bound to OS proc set {204}
OMP: pid 8938 tid 9047 thread 51 bound to OS proc set {58}
OMP: pid 8938 tid 9023 thread 39 bound to OS proc set {236}
OMP: pid 8938 tid 9077 thread 66 bound to OS proc set {267}
OMP: pid 8938 tid 9037 thread 46 bound to OS proc set {244}
OMP: pid 8938 tid 8991 thread 23 bound to OS proc set {26}
OMP: pid 8938 tid 9069 thread 62 bound to OS proc set {71}
OMP: pid 8938 tid 9059 thread 57 bound to OS proc set {65}
OMP: pid 8938 tid 8987 thread 21 bound to OS proc set {24}
OMP: pid 8938 tid 9217 thread 136 bound to OS proc set {347}
OMP: pid 8938 tid 9021 thread 38 bound to OS proc set {235}
OMP: pid 8938 tid 9153 thread 104 bound to OS proc set {119}
OMP: pid 8938 tid 9229 thread 142 bound to OS proc set {354}
OMP: pid 8938 tid 9227 thread 141 bound to OS proc set {353}
OMP: pid 8938 tid 9237 thread 146 bound to OS proc set {167}
OMP: pid 8938 tid 9193 thread 124 bound to OS proc set {142}
OMP: pid 8938 tid 9181 thread 118 bound to OS proc set {135}
OMP: pid 8938 tid 9169 thread 112 bound to OS proc set {128}
OMP: pid 8938 tid 9173 thread 114 bound to OS proc set {322}
OMP: pid 8938 tid 9175 thread 115 bound to OS proc set {323}
OMP: pid 8938 tid 9145 thread 100 bound to OS proc set {306}
OMP: pid 8938 tid 9177 thread 116 bound to OS proc set {324}
OMP: pid 8938 tid 9089 thread 72 bound to OS proc set {82}
OMP: pid 8938 tid 9039 thread 47 bound to OS proc set {245}
OMP: pid 8938 tid 9067 thread 61 bound to OS proc set {261}
OMP: pid 8938 tid 9093 thread 74 bound to OS proc set {276}
OMP: pid 8938 tid 9209 thread 132 bound to OS proc set {151}
OMP: pid 8938 tid 9053 thread 54 bound to OS proc set {253}
OMP: pid 8938 tid 9117 thread 86 bound to OS proc set {290}
OMP: pid 8938 tid 9121 thread 88 bound to OS proc set {292}
OMP: pid 8938 tid 9099 thread 77 bound to OS proc set {88}
OMP: pid 8938 tid 9045 thread 50 bound to OS proc set {57}
OMP: pid 8938 tid 9031 thread 43 bound to OS proc set {49}
OMP: pid 8938 tid 9119 thread 87 bound to OS proc set {291}
OMP: pid 8938 tid 9071 thread 63 bound to OS proc set {72}
OMP: pid 8938 tid 9087 thread 71 bound to OS proc set {81}
OMP: pid 8938 tid 9211 thread 133 bound to OS proc set {152}
OMP: pid 8938 tid 9049 thread 52 bound to OS proc set {251}
OMP: pid 8938 tid 9137 thread 96 bound to OS proc set {301}
OMP: pid 8938 tid 9091 thread 73 bound to OS proc set {275}
OMP: pid 8938 tid 9113 thread 84 bound to OS proc set {96}
OMP: pid 8938 tid 9161 thread 108 bound to OS proc set {315}
OMP: pid 8938 tid 9043 thread 49 bound to OS proc set {56}
OMP: pid 8938 tid 9157 thread 106 bound to OS proc set {121}
OMP: pid 8938 tid 9105 thread 80 bound to OS proc set {283}
OMP: pid 8938 tid 9147 thread 101 bound to OS proc set {307}
OMP: pid 8938 tid 9101 thread 78 bound to OS proc set {89}
OMP: pid 8938 tid 9151 thread 103 bound to OS proc set {118}
OMP: pid 8938 tid 9127 thread 91 bound to OS proc set {104}
OMP: pid 8938 tid 9155 thread 105 bound to OS proc set {120}
OMP: pid 8938 tid 9097 thread 76 bound to OS proc set {87}
OMP: pid 8938 tid 9149 thread 102 bound to OS proc set {308}
OMP: pid 8938 tid 9081 thread 68 bound to OS proc set {269}
OMP: pid 8938 tid 9103 thread 79 bound to OS proc set {282}
OMP: pid 8938 tid 9005 thread 30 bound to OS proc set {34}
OMP: pid 8938 tid 9163 thread 109 bound to OS proc set {316}
OMP: pid 8938 tid 9111 thread 83 bound to OS proc set {95}
OMP: pid 8938 tid 9213 thread 134 bound to OS proc set {345}
OMP: pid 8938 tid 8973 thread 14 bound to OS proc set {16}
OMP: pid 8938 tid 9245 thread 150 bound to OS proc set {363}
OMP: pid 8938 tid 9079 thread 67 bound to OS proc set {268}
OMP: pid 8938 tid 9263 thread 159 bound to OS proc set {182}
OMP: pid 8938 tid 9251 thread 153 bound to OS proc set {175}
OMP: pid 8938 tid 9085 thread 70 bound to OS proc set {80}
OMP: pid 8938 tid 9265 thread 160 bound to OS proc set {183}
OMP: pid 8938 tid 9257 thread 156 bound to OS proc set {370}
OMP: pid 8938 tid 9261 thread 158 bound to OS proc set {181}
OMP: pid 8938 tid 9125 thread 90 bound to OS proc set {103}
OMP: pid 8938 tid 9195 thread 125 bound to OS proc set {143}
OMP: pid 8938 tid 9083 thread 69 bound to OS proc set {79}
OMP: pid 8938 tid 9095 thread 75 bound to OS proc set {277}
OMP: pid 8938 tid 9165 thread 110 bound to OS proc set {126}
OMP: pid 8938 tid 9183 thread 119 bound to OS proc set {136}
OMP: pid 8938 tid 9179 thread 117 bound to OS proc set {134}
OMP: pid 8938 tid 9115 thread 85 bound to OS proc set {97}
OMP: pid 8938 tid 8959 thread 7 bound to OS proc set {8}
OMP: pid 8938 tid 8955 thread 5 bound to OS proc set {197}
OMP: pid 8938 tid 9267 thread 161 bound to OS proc set {184}
OMP: pid 8938 tid 9273 thread 164 bound to OS proc set {379}
OMP: pid 8938 tid 9269 thread 162 bound to OS proc set {377}
OMP: pid 8938 tid 9271 thread 163 bound to OS proc set {378}
OMP: pid 8938 tid 9199 thread 127 bound to OS proc set {337}
OMP: pid 8938 tid 9275 thread 165 bound to OS proc set {189}
OMP: pid 8938 tid 9277 thread 166 bound to OS proc set {190}
OMP: pid 8938 tid 9279 thread 167 bound to OS proc set {191}
OMP: pid 8938 tid 8957 thread 6 bound to OS proc set {198}
OMP: pid 8938 tid 9123 thread 89 bound to OS proc set {293}
OMP: pid 8938 tid 9259 thread 157 bound to OS proc set {371}
OMP: pid 8938 tid 9219 thread 137 bound to OS proc set {348}
OMP: pid 8938 tid 9221 thread 138 bound to OS proc set {158}
OMP: pid 8938 tid 9139 thread 97 bound to OS proc set {111}
OMP: pid 8938 tid 9141 thread 98 bound to OS proc set {112}
OMP: pid 8938 tid 9051 thread 53 bound to OS proc set {252}
OMP: pid 8938 tid 9185 thread 120 bound to OS proc set {137}
OMP: pid 8938 tid 9055 thread 55 bound to OS proc set {63}
OMP: pid 8938 tid 9171 thread 113 bound to OS proc set {129}
OMP: pid 8938 tid 9197 thread 126 bound to OS proc set {144}
OMP: pid 8938 tid 9223 thread 139 bound to OS proc set {159}
OMP: pid 8938 tid 9143 thread 99 bound to OS proc set {113}
OMP: pid 8938 tid 9129 thread 92 bound to OS proc set {105}
OMP: pid 8938 tid 9131 thread 93 bound to OS proc set {298}
OMP: pid 8938 tid 9107 thread 81 bound to OS proc set {284}
OMP: pid 8938 tid 9189 thread 122 bound to OS proc set {331}
OMP: pid 8938 tid 9063 thread 59 bound to OS proc set {259}
OMP: pid 8938 tid 9187 thread 121 bound to OS proc set {330}
OMP: pid 8938 tid 9215 thread 135 bound to OS proc set {346}
OMP: pid 8938 tid 9191 thread 123 bound to OS proc set {332}
OMP: pid 8938 tid 9159 thread 107 bound to OS proc set {314}
OMP: pid 8938 tid 9167 thread 111 bound to OS proc set {127}
OMP: pid 8938 tid 9133 thread 94 bound to OS proc set {299}
OMP: pid 8938 tid 9135 thread 95 bound to OS proc set {300}
OMP: pid 8938 tid 9109 thread 82 bound to OS proc set {285}
what is a LLM? and why should I care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that uses natural language processing (NLP) to analyze and generate human-like text. It's like a super-smart language translator, but instead of just translating words, it can understand and respond to complex conversations, write essays, and even create creative content like stories and poems.
LLMs are trained on massive amounts of text data, which allows them to learn patterns, relationships, and nuances of language. This training enables them to generate text that's coherent, contextual, and often surprisingly accurate.
You should care about LLMs for several reasons:
1. **Improved writing and communication**: LLMs can assist writers, journalists, and students with research, grammar, and even entire drafts. They can help with language translation, summarization, and even generate ideas.
2. **Enhanced customer service**: LLM-powered chatbots can provide 24/7 support, answer frequently asked questions, and even engage in more complex conversations, freeing human customer support agents to focus on more critical issues.
3. **Content creation**: LLMs can generate high-quality content, such as articles, social media posts, and even entire books. This can be a game-changer for content marketers, bloggers, and authors.
4. **Language translation**: LLMs can translate languages more accurately and efficiently than traditional translation software, making it easier for people to communicate across languages and cultures.
5. **Research and analysis**: LLMs can help analyze large datasets, identify patterns, and even generate insights, which can be a valuable tool for researchers, scientists, and business analysts.
6. **Accessibility and inclusivity**: LLMs can assist people with disabilities, such as those with autism or dyslexia, by providing a more accessible way to communicate and learn.
7. **Job market and economy**: As LLMs become more prevalent, new job opportunities will emerge, such as LLM developer, trainer, and evaluator. This will also lead to changes in the job market, with some roles becoming obsolete while others become more important.
However, it's essential to acknowledge the potential risks and challenges associated with LLMs, such as:
* **Bias and fairness**: LLMs can perpetuate biases and stereotypes present in the training data, which can lead to unfair outcomes.
* **Job displacement**: As LLMs automate certain tasks, there's a risk of job displacement, particularly in industries that rely heavily on writing, translation
Your experiment path is /beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_6
To display your profiling results:
###########################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
###########################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_6 #
# Functions | Per-node | maqao lprof -df -dn xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_6 #
# Functions | Per-process | maqao lprof -df -dp xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_6 #
# Functions | Per-thread | maqao lprof -df -dt xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_6 #
# Loops | Cluster-wide | maqao lprof -dl xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_6 #
# Loops | Per-node | maqao lprof -dl -dn xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_6 #
# Loops | Per-process | maqao lprof -dl -dp xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_6 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_6 #
###########################################################################################################################################################################################################################
* [MAQAO] Info: Detected 1 Lprof instances in isix06.benchmarkcenter.megware.com.
If this is incorrect, rerun with number-processes-per-node=X
OMP: pid 9338 tid 9338 thread 0 bound to OS proc set {0}
OMP: pid 9338 tid 9354 thread 4 bound to OS proc set {4}
OMP: pid 9338 tid 9410 thread 32 bound to OS proc set {32}
OMP: pid 9338 tid 9348 thread 1 bound to OS proc set {1}
OMP: pid 9338 tid 9352 thread 3 bound to OS proc set {3}
OMP: pid 9338 tid 9426 thread 40 bound to OS proc set {40}
OMP: pid 9338 tid 9414 thread 34 bound to OS proc set {34}
OMP: pid 9338 tid 9362 thread 8 bound to OS proc set {8}
OMP: pid 9338 tid 9350 thread 2 bound to OS proc set {2}
OMP: pid 9338 tid 9360 thread 7 bound to OS proc set {7}
OMP: pid 9338 tid 9378 thread 16 bound to OS proc set {16}
OMP: pid 9338 tid 9602 thread 128 bound to OS proc set {128}
OMP: pid 9338 tid 9474 thread 64 bound to OS proc set {64}
OMP: pid 9338 tid 9382 thread 18 bound to OS proc set {18}
OMP: pid 9338 tid 9356 thread 5 bound to OS proc set {5}
OMP: pid 9338 tid 9368 thread 11 bound to OS proc set {11}
OMP: pid 9338 tid 9698 thread 176 bound to OS proc set {176}
OMP: pid 9338 tid 9472 thread 63 bound to OS proc set {63}
OMP: pid 9338 tid 9480 thread 67 bound to OS proc set {67}
OMP: pid 9338 tid 9476 thread 65 bound to OS proc set {65}
OMP: pid 9338 tid 9506 thread 80 bound to OS proc set {80}
OMP: pid 9338 tid 9358 thread 6 bound to OS proc set {6}
OMP: pid 9338 tid 9386 thread 20 bound to OS proc set {20}
OMP: pid 9338 tid 9442 thread 48 bound to OS proc set {48}
OMP: pid 9338 tid 9534 thread 94 bound to OS proc set {94}
OMP: pid 9338 tid 9444 thread 49 bound to OS proc set {49}
OMP: pid 9338 tid 9610 thread 132 bound to OS proc set {132}
OMP: pid 9338 tid 9446 thread 50 bound to OS proc set {50}
OMP: pid 9338 tid 9434 thread 44 bound to OS proc set {44}
OMP: pid 9338 tid 9436 thread 45 bound to OS proc set {45}
OMP: pid 9338 tid 9466 thread 60 bound to OS proc set {60}
OMP: pid 9338 tid 9390 thread 22 bound to OS proc set {22}
OMP: pid 9338 tid 9536 thread 95 bound to OS proc set {95}
OMP: pid 9338 tid 9370 thread 12 bound to OS proc set {12}
OMP: pid 9338 tid 9396 thread 25 bound to OS proc set {25}
OMP: pid 9338 tid 9562 thread 108 bound to OS proc set {108}
OMP: pid 9338 tid 9566 thread 110 bound to OS proc set {110}
OMP: pid 9338 tid 9384 thread 19 bound to OS proc set {19}
OMP: pid 9338 tid 9510 thread 82 bound to OS proc set {82}
OMP: pid 9338 tid 9612 thread 133 bound to OS proc set {133}
OMP: pid 9338 tid 9702 thread 178 bound to OS proc set {178}
OMP: pid 9338 tid 9722 thread 188 bound to OS proc set {188}
OMP: pid 9338 tid 9512 thread 83 bound to OS proc set {83}
OMP: pid 9338 tid 9728 thread 191 bound to OS proc set {191}
OMP: pid 9338 tid 9508 thread 81 bound to OS proc set {81}
OMP: pid 9338 tid 9478 thread 66 bound to OS proc set {66}
OMP: pid 9338 tid 9430 thread 42 bound to OS proc set {42}
OMP: pid 9338 tid 9432 thread 43 bound to OS proc set {43}
OMP: pid 9338 tid 9470 thread 62 bound to OS proc set {62}
OMP: pid 9338 tid 9616 thread 135 bound to OS proc set {135}
OMP: pid 9338 tid 9416 thread 35 bound to OS proc set {35}
OMP: pid 9338 tid 9568 thread 111 bound to OS proc set {111}
OMP: pid 9338 tid 9700 thread 177 bound to OS proc set {177}
OMP: pid 9338 tid 9388 thread 21 bound to OS proc set {21}
OMP: pid 9338 tid 9376 thread 15 bound to OS proc set {15}
OMP: pid 9338 tid 9564 thread 109 bound to OS proc set {109}
OMP: pid 9338 tid 9394 thread 24 bound to OS proc set {24}
OMP: pid 9338 tid 9366 thread 10 bound to OS proc set {10}
OMP: pid 9338 tid 9364 thread 9 bound to OS proc set {9}
OMP: pid 9338 tid 9398 thread 26 bound to OS proc set {26}
OMP: pid 9338 tid 9726 thread 190 bound to OS proc set {190}
OMP: pid 9338 tid 9400 thread 27 bound to OS proc set {27}
OMP: pid 9338 tid 9372 thread 13 bound to OS proc set {13}
OMP: pid 9338 tid 9374 thread 14 bound to OS proc set {14}
OMP: pid 9338 tid 9622 thread 138 bound to OS proc set {138}
OMP: pid 9338 tid 9624 thread 139 bound to OS proc set {139}
OMP: pid 9338 tid 9380 thread 17 bound to OS proc set {17}
OMP: pid 9338 tid 9618 thread 136 bound to OS proc set {136}
OMP: pid 9338 tid 9402 thread 28 bound to OS proc set {28}
OMP: pid 9338 tid 9530 thread 92 bound to OS proc set {92}
OMP: pid 9338 tid 9518 thread 86 bound to OS proc set {86}
OMP: pid 9338 tid 9558 thread 106 bound to OS proc set {106}
OMP: pid 9338 tid 9404 thread 29 bound to OS proc set {29}
OMP: pid 9338 tid 9560 thread 107 bound to OS proc set {107}
OMP: pid 9338 tid 9540 thread 97 bound to OS proc set {97}
OMP: pid 9338 tid 9546 thread 100 bound to OS proc set {100}
OMP: pid 9338 tid 9532 thread 93 bound to OS proc set {93}
OMP: pid 9338 tid 9620 thread 137 bound to OS proc set {137}
OMP: pid 9338 tid 9542 thread 98 bound to OS proc set {98}
OMP: pid 9338 tid 9392 thread 23 bound to OS proc set {23}
OMP: pid 9338 tid 9544 thread 99 bound to OS proc set {99}
OMP: pid 9338 tid 9482 thread 68 bound to OS proc set {68}
OMP: pid 9338 tid 9552 thread 103 bound to OS proc set {103}
OMP: pid 9338 tid 9548 thread 101 bound to OS proc set {101}
OMP: pid 9338 tid 9412 thread 33 bound to OS proc set {33}
OMP: pid 9338 tid 9418 thread 36 bound to OS proc set {36}
OMP: pid 9338 tid 9428 thread 41 bound to OS proc set {41}
OMP: pid 9338 tid 9704 thread 179 bound to OS proc set {179}
OMP: pid 9338 tid 9554 thread 104 bound to OS proc set {104}
OMP: pid 9338 tid 9550 thread 102 bound to OS proc set {102}
OMP: pid 9338 tid 9422 thread 38 bound to OS proc set {38}
OMP: pid 9338 tid 9670 thread 162 bound to OS proc set {162}
OMP: pid 9338 tid 9714 thread 184 bound to OS proc set {184}
OMP: pid 9338 tid 9720 thread 187 bound to OS proc set {187}
OMP: pid 9338 tid 9718 thread 186 bound to OS proc set {186}
OMP: pid 9338 tid 9570 thread 112 bound to OS proc set {112}
OMP: pid 9338 tid 9690 thread 172 bound to OS proc set {172}
OMP: pid 9338 tid 9538 thread 96 bound to OS proc set {96}
OMP: pid 9338 tid 9460 thread 57 bound to OS proc set {57}
OMP: pid 9338 tid 9666 thread 160 bound to OS proc set {160}
OMP: pid 9338 tid 9556 thread 105 bound to OS proc set {105}
OMP: pid 9338 tid 9668 thread 161 bound to OS proc set {161}
OMP: pid 9338 tid 9462 thread 58 bound to OS proc set {58}
OMP: pid 9338 tid 9606 thread 130 bound to OS proc set {130}
OMP: pid 9338 tid 9632 thread 143 bound to OS proc set {143}
OMP: pid 9338 tid 9468 thread 61 bound to OS proc set {61}
OMP: pid 9338 tid 9440 thread 47 bound to OS proc set {47}
OMP: pid 9338 tid 9448 thread 51 bound to OS proc set {51}
OMP: pid 9338 tid 9608 thread 131 bound to OS proc set {131}
OMP: pid 9338 tid 9438 thread 46 bound to OS proc set {46}
OMP: pid 9338 tid 9604 thread 129 bound to OS proc set {129}
OMP: pid 9338 tid 9420 thread 37 bound to OS proc set {37}
OMP: pid 9338 tid 9614 thread 134 bound to OS proc set {134}
OMP: pid 9338 tid 9458 thread 56 bound to OS proc set {56}
OMP: pid 9338 tid 9630 thread 142 bound to OS proc set {142}
OMP: pid 9338 tid 9626 thread 140 bound to OS proc set {140}
OMP: pid 9338 tid 9488 thread 71 bound to OS proc set {71}
OMP: pid 9338 tid 9486 thread 70 bound to OS proc set {70}
OMP: pid 9338 tid 9496 thread 75 bound to OS proc set {75}
OMP: pid 9338 tid 9500 thread 77 bound to OS proc set {77}
OMP: pid 9338 tid 9494 thread 74 bound to OS proc set {74}
OMP: pid 9338 tid 9498 thread 76 bound to OS proc set {76}
OMP: pid 9338 tid 9504 thread 79 bound to OS proc set {79}
OMP: pid 9338 tid 9424 thread 39 bound to OS proc set {39}
OMP: pid 9338 tid 9490 thread 72 bound to OS proc set {72}
OMP: pid 9338 tid 9514 thread 84 bound to OS proc set {84}
OMP: pid 9338 tid 9682 thread 168 bound to OS proc set {168}
OMP: pid 9338 tid 9696 thread 175 bound to OS proc set {175}
OMP: pid 9338 tid 9692 thread 173 bound to OS proc set {173}
OMP: pid 9338 tid 9694 thread 174 bound to OS proc set {174}
OMP: pid 9338 tid 9672 thread 163 bound to OS proc set {163}
OMP: pid 9338 tid 9648 thread 151 bound to OS proc set {151}
OMP: pid 9338 tid 9406 thread 30 bound to OS proc set {30}
OMP: pid 9338 tid 9656 thread 155 bound to OS proc set {155}
OMP: pid 9338 tid 9660 thread 157 bound to OS proc set {157}
OMP: pid 9338 tid 9664 thread 159 bound to OS proc set {159}
OMP: pid 9338 tid 9658 thread 156 bound to OS proc set {156}
OMP: pid 9338 tid 9662 thread 158 bound to OS proc set {158}
OMP: pid 9338 tid 9574 thread 114 bound to OS proc set {114}
OMP: pid 9338 tid 9650 thread 152 bound to OS proc set {152}
OMP: pid 9338 tid 9642 thread 148 bound to OS proc set {148}
OMP: pid 9338 tid 9572 thread 113 bound to OS proc set {113}
OMP: pid 9338 tid 9408 thread 31 bound to OS proc set {31}
OMP: pid 9338 tid 9640 thread 147 bound to OS proc set {147}
OMP: pid 9338 tid 9600 thread 127 bound to OS proc set {127}
OMP: pid 9338 tid 9636 thread 145 bound to OS proc set {145}
OMP: pid 9338 tid 9576 thread 115 bound to OS proc set {115}
OMP: pid 9338 tid 9634 thread 144 bound to OS proc set {144}
OMP: pid 9338 tid 9578 thread 116 bound to OS proc set {116}
OMP: pid 9338 tid 9586 thread 120 bound to OS proc set {120}
OMP: pid 9338 tid 9596 thread 125 bound to OS proc set {125}
OMP: pid 9338 tid 9520 thread 87 bound to OS proc set {87}
OMP: pid 9338 tid 9598 thread 126 bound to OS proc set {126}
OMP: pid 9338 tid 9526 thread 90 bound to OS proc set {90}
OMP: pid 9338 tid 9592 thread 123 bound to OS proc set {123}
OMP: pid 9338 tid 9522 thread 88 bound to OS proc set {88}
OMP: pid 9338 tid 9594 thread 124 bound to OS proc set {124}
OMP: pid 9338 tid 9528 thread 91 bound to OS proc set {91}
OMP: pid 9338 tid 9674 thread 164 bound to OS proc set {164}
OMP: pid 9338 tid 9502 thread 78 bound to OS proc set {78}
OMP: pid 9338 tid 9484 thread 69 bound to OS proc set {69}
OMP: pid 9338 tid 9516 thread 85 bound to OS proc set {85}
OMP: pid 9338 tid 9706 thread 180 bound to OS proc set {180}
OMP: pid 9338 tid 9710 thread 182 bound to OS proc set {182}
OMP: pid 9338 tid 9708 thread 181 bound to OS proc set {181}
OMP: pid 9338 tid 9452 thread 53 bound to OS proc set {53}
OMP: pid 9338 tid 9454 thread 54 bound to OS proc set {54}
OMP: pid 9338 tid 9684 thread 169 bound to OS proc set {169}
OMP: pid 9338 tid 9584 thread 119 bound to OS proc set {119}
OMP: pid 9338 tid 9456 thread 55 bound to OS proc set {55}
OMP: pid 9338 tid 9686 thread 170 bound to OS proc set {170}
OMP: pid 9338 tid 9652 thread 153 bound to OS proc set {153}
OMP: pid 9338 tid 9638 thread 146 bound to OS proc set {146}
OMP: pid 9338 tid 9712 thread 183 bound to OS proc set {183}
OMP: pid 9338 tid 9716 thread 185 bound to OS proc set {185}
OMP: pid 9338 tid 9582 thread 118 bound to OS proc set {118}
OMP: pid 9338 tid 9688 thread 171 bound to OS proc set {171}
OMP: pid 9338 tid 9580 thread 117 bound to OS proc set {117}
OMP: pid 9338 tid 9590 thread 122 bound to OS proc set {122}
OMP: pid 9338 tid 9588 thread 121 bound to OS proc set {121}
OMP: pid 9338 tid 9644 thread 149 bound to OS proc set {149}
OMP: pid 9338 tid 9464 thread 59 bound to OS proc set {59}
OMP: pid 9338 tid 9450 thread 52 bound to OS proc set {52}
OMP: pid 9338 tid 9524 thread 89 bound to OS proc set {89}
OMP: pid 9338 tid 9628 thread 141 bound to OS proc set {141}
OMP: pid 9338 tid 9680 thread 167 bound to OS proc set {167}
OMP: pid 9338 tid 9678 thread 166 bound to OS proc set {166}
OMP: pid 9338 tid 9654 thread 154 bound to OS proc set {154}
OMP: pid 9338 tid 9676 thread 165 bound to OS proc set {165}
OMP: pid 9338 tid 9724 thread 189 bound to OS proc set {189}
OMP: pid 9338 tid 9646 thread 150 bound to OS proc set {150}
OMP: pid 9338 tid 9492 thread 73 bound to OS proc set {73}
what is a LLM? and why should I care?
A Large Language Model (LLM) is a type of artificial intelligence (AI) that uses natural language processing (NLP) to analyze and generate human-like text. It's like a super-smart language translator, but instead of just translating words, it can understand and respond to complex conversations, write essays, and even create creative content like stories and poems.
LLMs are trained on massive amounts of text data, which allows them to learn patterns, relationships, and nuances of language. This training enables them to generate text that's coherent, contextual, and often surprisingly accurate.
You should care about LLMs for several reasons:
1. **Improved writing and communication**: LLMs can assist writers, journalists, and students with research, grammar, and even entire drafts. They can help with language translation, summarization, and even generate ideas.
2. **Enhanced customer service**: LLM-powered chatbots can provide 24/7 support, answer frequently asked questions, and even engage in more complex conversations, freeing human customer support agents to focus on more critical issues.
3. **Content creation**: LLMs can generate high-quality content, such as articles, social media posts, and even entire books. This can be a game-changer for content marketers, bloggers, and authors.
4. **Language translation**: LLMs can translate languages more accurately and efficiently than traditional translation software, making it easier for people to communicate across languages and cultures.
5. **Research and analysis**: LLMs can help analyze large datasets, identify patterns, and even generate insights, which can be a valuable tool for researchers, scientists, and business analysts.
6. **Accessibility and inclusivity**: LLMs can assist people with disabilities, such as those with autism or dyslexia, by providing a more accessible way to communicate and learn.
7. **Job market and economy**: As LLMs become more prevalent, new job opportunities will emerge, such as LLM developer, trainer, and evaluator. This will also lead to changes in the job market, with some roles becoming obsolete while others become more important.
However, it's essential to acknowledge the potential risks and challenges associated with LLMs, such as:
* **Bias and fairness**: LLMs can perpetuate biases and stereotypes present in the training data, which can lead to unfair outcomes.
* **Job displacement**: As LLMs automate certain tasks, there's a risk of job displacement, particularly in industries that rely heavily on writing, translation
Your experiment path is /beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_7
To display your profiling results:
###########################################################################################################################################################################################################################
# LEVEL | REPORT | COMMAND #
###########################################################################################################################################################################################################################
# Functions | Cluster-wide | maqao lprof -df xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_7 #
# Functions | Per-node | maqao lprof -df -dn xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_7 #
# Functions | Per-process | maqao lprof -df -dp xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_7 #
# Functions | Per-thread | maqao lprof -df -dt xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_7 #
# Loops | Cluster-wide | maqao lprof -dl xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_7 #
# Loops | Per-node | maqao lprof -dl -dn xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_7 #
# Loops | Per-process | maqao lprof -dl -dp xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_7 #
# Loops | Per-thread | maqao lprof -dl -dt xp=/beegfs/hackathon/users/eoseret/qaas_runs_test/175-924-9259/intel/llama.cpp/run/oneview_runs/multicore/aocc_4/oneview_results_1759256241/tools/lprof_npsu_run_7 #
###########################################################################################################################################################################################################################
