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Loops Index

38 loops have been discarded from the report because their ratio ((Max Inclusive Time Over Threads * 100) / Max Thread Active Time) is lower than the threshold set by object_coverage_threshold (0.1%). It represents about 0.09% of the application. To include them, change the value of object_coverage_threshold in the experiment directory configuration file, then rerun the command with the additionnal parameter --force-static-analysis

Columns Filter

Level Max Thread Time / Walltime aocc_7 (%) Exclusive Coverage aocc_7 (%) Inclusive Coverage aocc_7 (%) Max Exclusive Time Over Threads aocc_7 (s) Max Inclusive Time Over Threads aocc_7 (s) Exclusive Time w.r.t. Wall Time aocc_7 (s) Inclusive Time w.r.t. Wall Time aocc_7 (s) Nb Threads aocc_7 GFLOPS aocc_7 Vectorization Ratio (%) Vector Length Use (%) Speedup If No Scalar Integer Speedup If FP Vectorized Speedup If Fully Vectorized Speedup If Perfect Load Balancing aocc_7 Stride 0 Stride 1 Stride n Stride Unknown Stride Indirect Array Access Efficiency Level Max Thread Time / Walltime Exclusive Coverage Inclusive Coverage Max Exclusive Time Over Threads Max Inclusive Time Over Threads Exclusive Time w.r.t. Wall Time Inclusive Time w.r.t. Wall Time Nb Threads GFLOPS Vectorization Ratio Vector Length Use Speedup If No Scalar Integer Speedup If FP Vectorized Speedup If Fully Vectorized Speedup If Perfect Load Balancing Stride 0 Stride 1 Stride n Stride Unknown Stride Indirect Array Access Efficiency
Loop idSource LocationSource FunctionLevelMax Thread Time / Walltime aocc_7 (%)Exclusive Coverage aocc_7 (%)Inclusive Coverage aocc_7 (%)Max Exclusive Time Over Threads aocc_7 (s)Max Inclusive Time Over Threads aocc_7 (s)Exclusive Time w.r.t. Wall Time aocc_7 (s)Inclusive Time w.r.t. Wall Time aocc_7 (s)Nb Threads aocc_7GFLOPS aocc_7Vectorization Ratio (%)Vector Length Use (%)Speedup If No Scalar IntegerSpeedup If FP VectorizedSpeedup If Fully VectorizedSpeedup If Perfect Load Balancing aocc_7Stride 0Stride 1Stride nStride UnknownStride IndirectArray Access Efficiency
2159libggml-cpu.so - quants.c:108-1042 [...]ggml_vec_dot_q8_0_q8_0Single82.6461.8561.8557.2657.2637.7037.7019253.82NANANANANA1.53NANANANANA0.00
2021libggml-cpu.so - sgemm.cpp:138-1044 [...]void (anonymous namespace)::tinyBLAS_Q0_AVX<block_q8_0, block_q8_0, float>::gemm4xN<2>(long, long, long, long)Innermost0.190.110.110.130.130.070.07189108.06NANANANANA1.98NANANANANA0.00
61libggml-cpu.so - ggml-cpu.c:1164-1198 [...]ggml_compute_forward_mul_matInBetween0.220.090.100.150.200.060.0619255.91011.881182.67NANANANANA0.00
2013libggml-cpu.so - sgemm.cpp:138-1044 [...]void (anonymous namespace)::tinyBLAS_Q0_AVX<block_q8_0, block_q8_0, float>::gemm4xN<4>(long, long, long, long)InBetween0.170.080.110.120.130.050.07189171.5964.2931.472.215.182.550002133.33
78libggml-cpu.so - ggml-cpu.c:533-2891 [...]ggml_graph_compute_threadSingle0.160.050.050.110.110.030.0318117.6909.561114.613.79NANANANANA0.00
1459libggml-cpu.so - vec.h:491-497ggml_compute_forward_flash_attn_extInnermost0.360.040.040.250.250.030.03351606.0110075111.451.8202000100.00
2012libggml-cpu.so - sgemm.cpp:138-1044 [...]void (anonymous namespace)::tinyBLAS_Q0_AVX<block_q8_0, block_q8_0, float>::gemm4xN<4>(long, long, long, long)Innermost0.100.040.040.070.070.020.02189290.25NANANANANA3.14NANANANANA0.00
758libggml-cpu.so - vec.cpp:311-316ggml_vec_dot_f16Single0.270.030.030.190.190.020.0232878.6610066.67111.571.6202000100.00
1446libggml-cpu.so - ops.cpp:8759-8881 [...]ggml_compute_forward_flash_attn_extInBetween0.120.010.050.080.270.010.03342299.5622.7314.742.41.472.082.67NANANANANA0.00
63libggml-cpu.so - ggml-cpu.c:1193-1194ggml_compute_forward_mul_matInnermost0.130.010.010.090.090.010.01140131.51012.511813.1210000100.00
353libggml-cpu.so - binary-ops.cpp:10-32 [...]ggml_compute_forward_add_non_quantizedInnermost0.300.000.000.210.210.000.001120.0806.2511.3316103000100.00
766libggml-cpu.so - vec.h:1084-1115 [...]ggml_vec_swiglu_f32Single0.250.000.000.170.170.000.0075283.199898.131116.610.5003056.25
433libggml-cpu.so - binary-ops.cpp:18-32 [...]ggml_compute_forward_mulInnermost0.170.000.000.120.120.000.001194.2906.2511.3316103000100.00
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