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[ 4 / 4 ] Application profile is long enough (17.9 s)
To have good quality measurements, it is advised that the application profiling time is greater than 10 seconds.
[ 0 / 3 ] Optimization level option not used
To have better performances, it is advised to help the compiler by using a proper optimization level (-O2 of higher). Warning, depending on compilers, faster optimization levels can decrease numeric accuracy.
[ 0 / 3 ] Helper debug compilation options -g and -fno-omit-frame-pointer are missing
-g option gives access to debugging informations, such are source locations and -fno-omit-frame-pointer improve the accuracy of callchains found during the application profiling.
[ 0 / 3 ] Architecture specific options are not used [AARCH64]
Architecture specific options are needed to produce efficient code for a specific processor ( -mcpu=native ).
[ 2 / 2 ] Application is correctly profiled ("Others" category represents 0.25 % of the execution time)
To have a representative profiling, it is advised that the category "Others" represents less than 20% of the execution time in order to analyze as much as possible of the user code
[ 4 / 4 ] Enough time of the experiment time spent in analyzed loops (59.34%)
If the time spent in analyzed loops is less than 30%, standard loop optimizations will have a limited impact on application performances.
[ 4 / 4 ] Loop profile is not flat
At least one loop coverage is greater than 4% (53.97%), representing an hotspot for the application
[ 4 / 4 ] Enough time of the experiment time spent in analyzed innermost loops (58.61%)
If the time spent in analyzed innermost loops is less than 15%, standard innermost loop optimizations such as vectorisation will have a limited impact on application performances.
[ 3 / 3 ] Less than 10% (0%) is spend in BLAS1 operations
It could be more efficient to inline by hand BLAS1 operations
[ 3 / 3 ] Cumulative Outermost/In between loops coverage (0.73%) lower than cumulative innermost loop coverage (58.61%)
Having cumulative Outermost/In between loops coverage greater than cumulative innermost loop coverage will make loop optimization more complex
[ 2 / 2 ] Less than 10% (0%) is spend in Libm/SVML (special functions)
[ 2 / 2 ] Less than 10% (0%) is spend in BLAS2 operations
BLAS2 calls usually could make a poor cache usage and could benefit from inlining.
| Loop ID | Module | Analysis | Penalty Score | Coverage (%) | Vectorization Ratio (%) | Vector Length Use (%) |
|---|---|---|---|---|---|---|
| ►96 | exec | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 3 | 53.97 | 40.74 | 35.19 |
| ○ | [SA] Several paths (3 paths) - Simplify control structure or force the compiler to use masked instructions. There are 3 issues ( = paths) costing 1 point each. | 3 | ||||
| ○33 | exec | Partial or unexisting vectorization - No issue detected | 0 | 1.28 | 27.27 | 65.91 |
| ○36 | exec | Partial or unexisting vectorization - No issue detected | 0 | 1.14 | 0 | 18.75 |
| ○79 | exec | Partial or unexisting vectorization - No issue detected | 0 | 1.09 | 0 | 25 |
| ►95 | exec | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 5 | 0.72 | 0 | 25 |
| ○ | [SA] Several paths (3 paths) - Simplify control structure or force the compiler to use masked instructions. There are 3 issues ( = paths) costing 1 point each. | 3 | ||||
| ○ | [SA] Non innermost loop (Outermost) - Collapse loop with innermost ones. This issue costs 2 points. | 2 | ||||
| ○120 | exec | Partial or unexisting vectorization - No issue detected | 0 | 0.67 | 7.69 | 25.96 |
| ○35 | exec | Partial or unexisting vectorization - No issue detected | 0 | 0.18 | 8.33 | 26.04 |
| ○80 | exec | Partial or unexisting vectorization - No issue detected | 0 | 0.12 | 0 | 25 |
| ○123 | exec | Partial or unexisting vectorization - No issue detected | 0 | 0.05 | 28.57 | 30.36 |
| ○65 | exec | Partial or unexisting vectorization - No issue detected | 0 | 0.05 | 0 | 25 |