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gmx_mpi - 2023-08-08 09:21:48 - MAQAO 2.17.8

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▼Stylizer  

[ 0 / 9 ] Compilation options are not available

Compilation options are an important optimization leverage but ONE-View is not able to analyze them.

[ 4 / 4 ] Application profile is long enough (374.74 s)

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

[ 2 / 2 ] Application is correctly profiled ("Others" category represents 0.01 % 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

▼Optimizer

Loop IDModuleAnalysisPenalty ScoreCoverage (%)Vectorization
Ratio (%)
Vector Length
Use (%)
►1327libgromacs_mpi.so.7Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access.51843.3896.4998.87
○[SA] Presence of expensive FP instructions - Perform hoisting, change algorithm, use SVML or proper numerical library or perform value profiling (count the number of distinct input values). There are 128 issues (= instructions) costing 4 points each.512
○[SA] Presence of a large number of scalar integer instructions - Simplify loop structure, perform loop splitting or perform unroll and jam. This issue costs 2 points.2
○[SA] Inefficient vectorization: use of shorter than available vector length - Force compiler to use proper vector length. CAUTION: use of 512 bits vectors could be more expensive than 256 bits on some processors. Use intrinsics (costly and not portable). The issue costs 2 points.2
○[SA] Inefficient vectorization: use of masked instructions - Simplify control structure. The issue costs 2 points.2
○Warning! There is no dynamic data for this loop. Some checks can not been performed.0
►1329libgromacs_mpi.so.7Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access.51816.5995.7197.52
○[SA] Presence of expensive FP instructions - Perform hoisting, change algorithm, use SVML or proper numerical library or perform value profiling (count the number of distinct input values). There are 128 issues (= instructions) costing 4 points each.512
○[SA] Presence of a large number of scalar integer instructions - Simplify loop structure, perform loop splitting or perform unroll and jam. This issue costs 2 points.2
○[SA] Inefficient vectorization: use of shorter than available vector length - Force compiler to use proper vector length. CAUTION: use of 512 bits vectors could be more expensive than 256 bits on some processors. Use intrinsics (costly and not portable). The issue costs 2 points.2
○[SA] Inefficient vectorization: use of masked instructions - Simplify control structure. The issue costs 2 points.2
○Warning! There is no dynamic data for this loop. Some checks can not been performed.0
►1335libgromacs_mpi.so.7Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access.9026.3995.0897.28
○[SA] Presence of expensive FP instructions - Perform hoisting, change algorithm, use SVML or proper numerical library or perform value profiling (count the number of distinct input values). There are 224 issues (= instructions) costing 4 points each.896
○[SA] Presence of a large number of scalar integer instructions - Simplify loop structure, perform loop splitting or perform unroll and jam. This issue costs 2 points.2
○[SA] Inefficient vectorization: use of shorter than available vector length - Force compiler to use proper vector length. CAUTION: use of 512 bits vectors could be more expensive than 256 bits on some processors. Use intrinsics (costly and not portable). The issue costs 2 points.2
○[SA] Inefficient vectorization: use of masked instructions - Simplify control structure. The issue costs 2 points.2
○Warning! There is no dynamic data for this loop. Some checks can not been performed.0
►1337libgromacs_mpi.so.7Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access.9022.4995.7297.54
○[SA] Presence of expensive FP instructions - Perform hoisting, change algorithm, use SVML or proper numerical library or perform value profiling (count the number of distinct input values). There are 224 issues (= instructions) costing 4 points each.896
○[SA] Presence of a large number of scalar integer instructions - Simplify loop structure, perform loop splitting or perform unroll and jam. This issue costs 2 points.2
○[SA] Inefficient vectorization: use of shorter than available vector length - Force compiler to use proper vector length. CAUTION: use of 512 bits vectors could be more expensive than 256 bits on some processors. Use intrinsics (costly and not portable). The issue costs 2 points.2
○[SA] Inefficient vectorization: use of masked instructions - Simplify control structure. The issue costs 2 points.2
○Warning! There is no dynamic data for this loop. Some checks can not been performed.0
○20234libgromacs_mpi.so.7Partial or unexisting vectorization - No issue detected02.1700
►1326libgromacs_mpi.so.7Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access.10021.7567.7968.06
○[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
►19901libgromacs_mpi.so.7Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access.41.7295.2449.4
○[SA] Inefficient vectorization: use of shorter than available vector length - Force compiler to use proper vector length. CAUTION: use of 512 bits vectors could be more expensive than 256 bits on some processors. Use intrinsics (costly and not portable). The issue costs 2 points.2
○[SA] Inefficient vectorization: use of masked instructions - Simplify control structure. The issue costs 2 points.2
○Warning! There is no dynamic data for this loop. Some checks can not been performed.0
►20157libgromacs_mpi.so.7Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access.10021.6148.6559.97
○[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 (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
►1328libgromacs_mpi.so.7Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access.5211.5990.0293.04
○[SA] Presence of expensive FP instructions - Perform hoisting, change algorithm, use SVML or proper numerical library or perform value profiling (count the number of distinct input values). There are 128 issues (= instructions) costing 4 points each.512
○[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] Presence of a large number of scalar integer instructions - Simplify loop structure, perform loop splitting or perform unroll and jam. This issue costs 2 points.2
○[SA] Inefficient vectorization: use of masked instructions - Simplify control structure. The issue costs 2 points.2
○[SA] Inefficient vectorization: use of shorter than available vector length - Force compiler to use proper vector length. CAUTION: use of 512 bits vectors could be more expensive than 256 bits on some processors. Use intrinsics (costly and not portable). The issue costs 2 points.2
○Warning! There is no dynamic data for this loop. Some checks can not been performed.0
►1330libgromacs_mpi.so.7Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access.5211.4990.7293.31
○[SA] Presence of expensive FP instructions - Perform hoisting, change algorithm, use SVML or proper numerical library or perform value profiling (count the number of distinct input values). There are 128 issues (= instructions) costing 4 points each.512
○[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] Presence of a large number of scalar integer instructions - Simplify loop structure, perform loop splitting or perform unroll and jam. This issue costs 2 points.2
○[SA] Inefficient vectorization: use of masked instructions - Simplify control structure. The issue costs 2 points.2
○[SA] Inefficient vectorization: use of shorter than available vector length - Force compiler to use proper vector length. CAUTION: use of 512 bits vectors could be more expensive than 256 bits on some processors. Use intrinsics (costly and not portable). The issue costs 2 points.2
○Warning! There is no dynamic data for this loop. Some checks can not been performed.0
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