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exec - 2024-05-16 17:47:27 - MAQAO 2.19.1

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Stylizer  

[ 4 / 4 ] Application profile is long enough (34.22 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 (90.93%)

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% (41.60%), representing an hotspot for the application

[ 4 / 4 ] Enough time of the experiment time spent in analyzed innermost loops (17.52%)

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 (73.41%) greater than cumulative innermost loop coverage (17.52%)

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.100241.654.2646.03
[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.13410.5753.8545.77
[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.10029.4958.3348.54
[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.222.5012.5
[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.1342.0653.8545.77
[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
3133execThe loop is fully and efficiently vectorized.01.4100100
Warning! There is no dynamic data for this loop. Some checks can not been performed.0
2112execThe loop is fully and efficiently vectorized.01.4100100
Warning! There is no dynamic data for this loop. Some checks can not been performed.0
2461execPartial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access.61.25012.5
[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
622execPartial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access.10021.06012.5
[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
614execPartial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access.10021.04012.5
[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
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