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exec - 2024-03-26 18:57:44 - MAQAO 2.19.1

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Stylizer  

[ 4 / 4 ] Application profile is long enough (18.89 s)

To have good quality measurements, it is advised that the application profiling time is greater than 10 seconds.

[ 3.00 / 3 ] Optimization level option is correctly used

[ 3.00 / 3 ] Most of time spent in analyzed modules comes from functions compiled with -g and -fno-omit-frame-pointer

-g option gives access to debugging informations, such are source locations. -fno-omit-frame-pointer improve the accuracy of callchains found during the application profiling.

[ 3.00 / 3 ] Architecture specific option -march=sapphirerapids is used

[ 2 / 2 ] Application is correctly profiled ("Others" category represents 0 % 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

Strategizer  

[ 4 / 4 ] Enough time of the experiment time spent in analyzed loops (85.99%)

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% (39.07%), representing an hotspot for the application

[ 4 / 4 ] Enough time of the experiment time spent in analyzed innermost loops (16.39%)

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

[ 0 / 3 ] Cumulative Outermost/In between loops coverage (69.60%) greater than cumulative innermost loop coverage (16.39%)

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.

Optimizer

Loop IDModuleAnalysisPenalty ScoreCoverage (%)Vectorization
Ratio (%)
Vector Length
Use (%)
2113execPartial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access.100239.0754.2646.03
[SA] Too many paths (16385 paths) - Simplify control structure. There are 16385 issues ( = paths) costing 1 point, limited to 1000.1000
[SA] Non innermost loop (Outermost) - Collapse loop with innermost ones. This issue costs 2 points.2
Warning! Some static analysis are missing because the loop has too many paths. Use a higher value for --maximal_path_number option.0
3092execPartial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access.1349.8253.8545.77
[SA] Too many paths (128 paths) - Simplify control structure. There are 128 issues ( = paths) costing 1 point each with a malus of 4 points.132
[SA] Non innermost loop (Outermost) - Collapse loop with innermost ones. This issue costs 2 points.2
Warning! Some static analysis are missing because the loop has too many paths. Use a higher value for --maximal_path_number option.0
3075execPartial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access.10028.8358.3348.54
[SA] Too many paths (at least 1000 paths) - Simplify control structure. There are at least 1000 issues ( = paths) costing 1 point.1000
[SA] Non innermost loop (InBetween) - Collapse loop with innermost ones. This issue costs 2 points.2
Warning! Some static analysis are missing because the loop has too many paths. Use a higher value for --maximal_path_number option.0
3101execPartial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access.222.55012.5
[SA] Too many paths (16 paths) - Simplify control structure. There are 16 issues ( = paths) costing 1 point each with a malus of 4 points.20
[SA] Non innermost loop (Outermost) - Collapse loop with innermost ones. This issue costs 2 points.2
Warning! Some static analysis are missing because the loop has too many paths. Use a higher value for --maximal_path_number option.0
3084execPartial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access.1342.0553.8545.77
[SA] Too many paths (128 paths) - Simplify control structure. There are 128 issues ( = paths) costing 1 point each with a malus of 4 points.132
[SA] Non innermost loop (Outermost) - Collapse loop with innermost ones. This issue costs 2 points.2
Warning! Some static analysis are missing because the loop has too many paths. Use a higher value for --maximal_path_number option.0
2112execThe loop is fully and efficiently vectorized.01.3100100
Warning! There is no dynamic data for this loop. Some checks can not been performed.0
622execPartial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access.10021.29012.5
[SA] Too many paths (at least 1000 paths) - Simplify control structure. There are at least 1000 issues ( = paths) costing 1 point.1000
[SA] Non innermost loop (InBetween) - Collapse loop with innermost ones. This issue costs 2 points.2
Warning! Some static analysis are missing because the loop has too many paths. Use a higher value for --maximal_path_number option.0
3133execThe loop is fully and efficiently vectorized.01.28100100
Warning! There is no dynamic data for this loop. Some checks can not been performed.0
614execPartial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access.10021.19012.5
[SA] Too many paths (65026 paths) - Simplify control structure. There are 65026 issues ( = paths) costing 1 point, limited to 1000.1000
[SA] Non innermost loop (InBetween) - Collapse loop with innermost ones. This issue costs 2 points.2
Warning! Some static analysis are missing because the loop has too many paths. Use a higher value for --maximal_path_number option.0
2461execPartial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access.61.17012.5
[SA] Presence of constant non unit stride data access - Use array restructuring, perform loop interchange or use gather instructions to lower a bit the cost. There are 2 issues ( = data accesses) costing 2 point each.4
[SA] Several paths (2 paths) - Simplify control structure or force the compiler to use masked instructions. There are 2 issues ( = paths) costing 1 point each.2
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