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[ 4 / 4 ] Application profile is long enough (92.71 s)
To have good quality measurements, it is advised that the application profiling time is greater than 10 seconds.
[ 1.34 / 3 ] Some functions are compiled with a low optimization level (O0 or O1)
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.
[ 1.34 / 3 ] Most of time spent in analyzed modules comes from functions without compilation information
Functions without compilation information (typically not compiled with -g) cumulate 55.40% of the time spent in analyzed modules. Check that -g is present. Remark: if -g is indeed used, this can also be due to some compiler built-in functions (typically math) or statically linked libraries. This warning can be ignored in that case.
[ 1.34 / 3 ] Compilation of some functions is not optimized for the target processor
Architecture specific options are needed to produce efficient code for a specific processor ( -x(target) or -ax(target) ).
[ 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
[ 4 / 4 ] Enough time of the experiment time spent in analyzed loops (44.69%)
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% (4.99%), representing an hotspot for the application
[ 4 / 4 ] Enough time of the experiment time spent in analyzed innermost loops (44.44%)
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 (44.44%)
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 (%) |
|---|---|---|---|---|---|---|
| ►296 | omp-cloverleaf | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 36 | 4.99 | 64.57 | 20.45 |
| ○ | [SA] Presence of indirect accesses - Use array restructuring or gather instructions to lower the cost. There are 9 issues ( = indirect data accesses) costing 4 point each. | 36 | ||||
| ►150 | omp-cloverleaf | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 54 | 4.83 | 57.32 | 19.54 |
| ○ | [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 | ||||
| ►298 | omp-cloverleaf | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 32 | 4.27 | 63.41 | 20.27 |
| ○ | [SA] Presence of indirect accesses - Use array restructuring or gather instructions to lower the cost. There are 8 issues ( = indirect data accesses) costing 4 point each. | 32 | ||||
| ►173 | omp-cloverleaf | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 24 | 2.46 | 71.6 | 35.44 |
| ○ | [SA] Presence of indirect accesses - Use array restructuring or gather instructions to lower the cost. There are 5 issues ( = indirect data accesses) costing 4 point each. | 20 | ||||
| ○ | [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 | ||||
| ○ | [SA] Presence of calls - Inline either by compiler or by hand and use SVML for libm calls. There are 2 issues (= calls) costing 1 point each. | 2 | ||||
| ►182 | omp-cloverleaf | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 24 | 2.32 | 68.33 | 33.85 |
| ○ | [SA] Presence of indirect accesses - Use array restructuring or gather instructions to lower the cost. There are 5 issues ( = indirect data accesses) costing 4 point each. | 20 | ||||
| ○ | [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 | ||||
| ○ | [SA] Presence of calls - Inline either by compiler or by hand and use SVML for libm calls. There are 2 issues (= calls) costing 1 point each. | 2 | ||||
| ►213 | omp-cloverleaf | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 42 | 2.25 | 63.57 | 32.74 |
| ○ | [SA] Presence of indirect accesses - Use array restructuring or gather instructions to lower the cost. There are 10 issues ( = indirect data accesses) costing 4 point each. | 40 | ||||
| ○ | [SA] Presence of calls - Inline either by compiler or by hand and use SVML for libm calls. There are 2 issues (= calls) costing 1 point each. | 2 | ||||
| ►714 | omp-cloverleaf | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 278 | 2.18 | 65.69 | 33.13 |
| ○ | [SA] Too many paths (272 paths) - Simplify control structure. There are 272 issues ( = paths) costing 1 point each with a malus of 4 points. | 276 | ||||
| ○ | [SA] Presence of calls - Inline either by compiler or by hand and use SVML for libm calls. There are 2 issues (= calls) costing 1 point each. | 2 | ||||
| ○ | Warning! Some static analysis are missing because the loop has too many paths. Use a higher value for --maximal_path_number option. | 0 | ||||
| ►155 | omp-cloverleaf | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 23 | 2.06 | 69 | 35.35 |
| ○ | [SA] Presence of indirect accesses - Use array restructuring or gather instructions to lower the cost. There are 5 issues ( = indirect data accesses) costing 4 point each. | 20 | ||||
| ○ | [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 | ||||
| ○ | [SA] Presence of calls - Inline either by compiler or by hand and use SVML for libm calls. There are 1 issues (= calls) costing 1 point each. | 1 | ||||
| ►164 | omp-cloverleaf | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 24 | 1.75 | 64.71 | 33.33 |
| ○ | [SA] Presence of indirect accesses - Use array restructuring or gather instructions to lower the cost. There are 5 issues ( = indirect data accesses) costing 4 point each. | 20 | ||||
| ○ | [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 | ||||
| ○ | [SA] Presence of calls - Inline either by compiler or by hand and use SVML for libm calls. There are 2 issues (= calls) costing 1 point each. | 2 | ||||
| ►248 | omp-cloverleaf | Partial or unexisting vectorization - Use pragma to force vectorization and check potential dependencies between array access. | 34 | 1.58 | 60.91 | 33.3 |
| ○ | [SA] Presence of indirect accesses - Use array restructuring or gather instructions to lower the cost. There are 8 issues ( = indirect data accesses) costing 4 point each. | 32 | ||||
| ○ | [SA] Presence of calls - Inline either by compiler or by hand and use SVML for libm calls. There are 2 issues (= calls) costing 1 point each. | 2 |