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kripke.exe - 2026-03-12 12:11:23 - MAQAO 2026.0.0

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  • run_0

▼Strategizer  

[ 4 / 4 ] Enough time of the experiment time spent in analyzed loops (78.54%)

If the time spent in analyzed loops is less than 30%, standard loop optimizations will have a limited impact on application performances.

[ 4 / 4 ] Threads activity is good

On average, more than 90.40% of observed threads are actually active

[ 4 / 4 ] CPU activity is good

CPU cores are active 91.06% of time

[ 4 / 4 ] Loop profile is not flat

At least one loop coverage is greater than 4% (51.05%), representing an hotspot for the application

[ 4 / 4 ] Enough time of the experiment time spent in analyzed innermost loops (27.40%)

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.

[ 4 / 4 ] Affinity is good (99.94%)

Threads are not migrating to CPU cores: probably successfully pinned

[ 3 / 3 ] Less than 10% (0.00%) is spend in BLAS1 operations

It could be more efficient to inline by hand BLAS1 operations

[ 0 / 3 ] Too many functions do not use all threads

Functions running on a reduced number of threads (typically sequential code) cover at least 10% of application walltime (23.58%). Check both "Max Inclusive Time Over Threads" and "Nb Threads" in Functions or Loops tabs and consider parallelizing sequential regions or improving parallelization of regions running on a reduced number of threads

[ 0 / 3 ] Cumulative Outermost/In between loops coverage (51.14%) greater than cumulative innermost loop coverage (27.40%)

Having cumulative Outermost/In between loops coverage greater than cumulative innermost loop coverage will make loop optimization more complex

[ 2 / 2 ] Less than 10% (0.00%) is spend in BLAS2 operations

BLAS2 calls usually could make a poor cache usage and could benefit from inlining.

[ 2 / 2 ] Less than 10% (0.00%) is spend in Libm/SVML (special functions)

▼Optimizer

Loop IDAnalysisPenalty Score
►Loop 1224 - kripke.exe+Execution Time: 51 % - Vectorization Ratio: 24.15 % - Vector Length Use: 15.52 %
►Loop Computation Issues+2
○[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
►Control Flow Issues+6
○[SA] Several paths (4 paths) - Simplify control structure or force the compiler to use masked instructions. There are 4 issues ( = paths) costing 1 point each.4
○[SA] Non innermost loop (InBetween) - Collapse loop with innermost ones. This issue costs 2 points.2
►Data Access Issues+3
○[SA] Presence of special instructions executing on a single port (INSERT/EXTRACT, SHUFFLE/PERM) - Simplify data access and try to get stride 1 access. There are 1 issues (= instructions) costing 1 point each.1
○[SA] More than 20% of the loads are accessing the stack - Perform loop splitting to decrease pressure on registers. This issue costs 2 points.2
►Vectorization Roadblocks+6
○[SA] Several paths (4 paths) - Simplify control structure or force the compiler to use masked instructions. There are 4 issues ( = paths) costing 1 point each.4
○[SA] Non innermost loop (InBetween) - Collapse loop with innermost ones. This issue costs 2 points.2
►Inefficient Vectorization+1
○[SA] Presence of special instructions executing on a single port (INSERT/EXTRACT, SHUFFLE/PERM) - Simplify data access and try to get stride 1 access. There are 1 issues (= instructions) costing 1 point each.1
►Loop 1225 - kripke.exe+Execution Time: 13 % - Vectorization Ratio: 0.00 % - Vector Length Use: 12.50 %
►Data Access Issues+2
○[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
►Vectorization Roadblocks+2
○[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
○Loop 966 - kripke.exeExecution Time: 6 % - Vectorization Ratio: 100.00 % - Vector Length Use: 50.00 %
○Loop 822 - kripke.exeExecution Time: 4 % - Vectorization Ratio: 100.00 % - Vector Length Use: 50.00 %
►Loop 1428 - kripke.exe+Execution Time: 2 % - Vectorization Ratio: 11.54 % - Vector Length Use: 13.94 %
►Loop Computation Issues+12
○[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 3 issues (= instructions) costing 4 points each.12
►Data Access Issues+33
○[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 6 issues ( = data accesses) costing 2 point each.12
○[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
○[SA] Presence of special instructions executing on a single port (INSERT/EXTRACT, SHUFFLE/PERM) - Simplify data access and try to get stride 1 access. There are 3 issues (= instructions) costing 1 point each.3
○[SA] More than 20% of the loads are accessing the stack - Perform loop splitting to decrease pressure on registers. This issue costs 2 points.2
►Vectorization Roadblocks+28
○[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 6 issues ( = data accesses) costing 2 point each.12
○[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
►Inefficient Vectorization+3
○[SA] Presence of special instructions executing on a single port (INSERT/EXTRACT, SHUFFLE/PERM) - Simplify data access and try to get stride 1 access. There are 3 issues (= instructions) costing 1 point each.3
○Loop 1116 - kripke.exeExecution Time: 0 % - Vectorization Ratio: 100.00 % - Vector Length Use: 50.00 %
►Loop 1427 - kripke.exe+Execution Time: 0 % - Vectorization Ratio: 0.00 % - Vector Length Use: 12.38 %
►Control Flow Issues+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
○[SA] Non innermost loop (InBetween) - Collapse loop with innermost ones. This issue costs 2 points.2
►Data Access Issues+38
○[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 6 issues ( = data accesses) costing 2 point each.12
○[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
○[SA] More than 20% of the loads are accessing the stack - Perform loop splitting to decrease pressure on registers. This issue costs 2 points.2
►Vectorization Roadblocks+40
○[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 constant non unit stride data access - Use array restructuring, perform loop interchange or use gather instructions to lower a bit the cost. There are 6 issues ( = data accesses) costing 2 point each.12
○[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
○[SA] Non innermost loop (InBetween) - Collapse loop with innermost ones. This issue costs 2 points.2
►Loop 1223 - kripke.exe+Execution Time: 0 % - Vectorization Ratio: 0.00 % - Vector Length Use: 11.25 %
►Loop Computation Issues+2
○[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
►Control Flow Issues+11
○[SA] Too many paths (5 paths) - Simplify control structure. There are 5 issues ( = paths) costing 1 point each with a malus of 4 points.9
○[SA] Non innermost loop (InBetween) - Collapse loop with innermost ones. This issue costs 2 points.2
►Data Access Issues+3
○[SA] Presence of special instructions executing on a single port (BROADCAST) - Simplify data access and try to get stride 1 access. There are 1 issues (= instructions) costing 1 point each.1
○[SA] More than 20% of the loads are accessing the stack - Perform loop splitting to decrease pressure on registers. This issue costs 2 points.2
►Vectorization Roadblocks+11
○[SA] Too many paths (5 paths) - Simplify control structure. There are 5 issues ( = paths) costing 1 point each with a malus of 4 points.9
○[SA] Non innermost loop (InBetween) - Collapse loop with innermost ones. This issue costs 2 points.2
►Inefficient Vectorization+1
○[SA] Presence of special instructions executing on a single port (BROADCAST) - Simplify data access and try to get stride 1 access. There are 1 issues (= instructions) costing 1 point each.1
○Loop 737 - kripke.exeExecution Time: 0 % - Vectorization Ratio: 100.00 % - Vector Length Use: 50.00 %
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