Help is available by moving the cursor above any 
symbol or by checking MAQAO website.
[ 4 / 4 ] Application profile is long enough (54.94 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 -axCORE is used
[ 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
[ 4 / 4 ] Enough time of the experiment time spent in analyzed loops (95.14%)
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% (5.79%), representing an hotspot for the application
[ 4 / 4 ] Enough time of the experiment time spent in analyzed innermost loops (94.89%)
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 (0.25%) lower than cumulative innermost loop coverage (94.89%)
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 (%) |
|---|---|---|---|---|---|---|
| ►452 | exec | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 54 | 5.79 | 75.62 | 21.81 |
| ○ | [SA] Presence of indirect accesses - Use array restructuring or gather instructions to lower the cost. There are 13 issues ( = indirect data accesses) costing 4 point each. | 52 | ||||
| ○ | [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 1 issues ( = data accesses) costing 2 point each. | 2 | ||||
| ►310 | exec | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 36 | 5.25 | 76.71 | 21.76 |
| ○ | [SA] Too many paths (32 paths) - Simplify control structure. There are 32 issues ( = paths) costing 1 point each with a malus of 4 points. | 36 | ||||
| ○ | Warning! Some static analysis are missing because the loop has too many paths. Use a higher value for --maximal_path_number option. | 0 | ||||
| ►454 | exec | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 50 | 5.04 | 74.93 | 21.67 |
| ○ | [SA] Presence of indirect accesses - Use array restructuring or gather instructions to lower the cost. There are 12 issues ( = indirect data accesses) costing 4 point each. | 48 | ||||
| ○ | [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 1 issues ( = data accesses) costing 2 point each. | 2 | ||||
| ►395 | exec | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 16 | 4.99 | 69.64 | 20.98 |
| ○ | [SA] Presence of indirect accesses - Use array restructuring or gather instructions to lower the cost. There are 4 issues ( = indirect data accesses) costing 4 point each. | 16 | ||||
| ►289 | exec | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 54 | 4.91 | 69.23 | 21 |
| ○ | [SA] Presence of indirect accesses - Use array restructuring or gather instructions to lower the cost. There are 13 issues ( = indirect data accesses) costing 4 point each. | 52 | ||||
| ○ | [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 1 issues ( = data accesses) costing 2 point each. | 2 | ||||
| ►318 | exec | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 36 | 4.83 | 74.89 | 21.51 |
| ○ | [SA] Too many paths (32 paths) - Simplify control structure. There are 32 issues ( = paths) costing 1 point each with a malus of 4 points. | 36 | ||||
| ○ | Warning! Some static analysis are missing because the loop has too many paths. Use a higher value for --maximal_path_number option. | 0 | ||||
| ►294 | exec | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 20 | 4.11 | 79.84 | 22.28 |
| ○ | [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 | ||||
| ○ | Warning! Some static analysis are missing because the loop has too many paths. Use a higher value for --maximal_path_number option. | 0 | ||||
| ►905 | exec | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 260 | 4.08 | 77.35 | 21.84 |
| ○ | [SA] Too many paths (256 paths) - Simplify control structure. There are 256 issues ( = paths) costing 1 point each with a malus of 4 points. | 260 | ||||
| ○ | Warning! Some static analysis are missing because the loop has too many paths. Use a higher value for --maximal_path_number option. | 0 | ||||
| ►316 | exec | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 24 | 3.97 | 68.6 | 20.76 |
| ○ | [SA] Presence of indirect accesses - Use array restructuring or gather instructions to lower the cost. There are 6 issues ( = indirect data accesses) costing 4 point each. | 24 | ||||
| ►308 | exec | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 24 | 3.94 | 70.54 | 20.93 |
| ○ | [SA] Presence of indirect accesses - Use array restructuring or gather instructions to lower the cost. There are 6 issues ( = indirect data accesses) costing 4 point each. | 24 |