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exec - 2025-09-17 21:17:10 - MAQAO 2025.1.2

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Global Metrics

Total Time (s)		112.62
Max (Thread Active Time) (s)		99.71
Average Active Time (s)		99.38
Activity Ratio (%)		88.7
Average number of active threads		225.906
Affinity Stability (%)		89.3
GFLOPS		392.592
Time in analyzed loops (%)		90.2
Time in analyzed innermost loops (%)		87.1
Time in user code (%)		90.5
Compilation Options Score (%)		50.0
Array Access Efficiency (%)		45.5
Potential Speedups
Perfect Flow Complexity		3.50
Perfect OpenMP/MPI/Pthread/TBB		1.02
Perfect OpenMP/MPI/Pthread/TBB + Perfect Load Distribution		1.10
No Scalar Integer	Potential Speedup	1.21
	Nb Loops to get 80%	3
FP Vectorised	Potential Speedup	1.83
	Nb Loops to get 80%	3
Fully Vectorised	Potential Speedup	4.27
	Nb Loops to get 80%	5
FP Arithmetic Only	Potential Speedup	1.28
	Nb Loops to get 80%	3

CQA Potential Speedups Summary

Average Active Threads Count⏎

FLOPS Breakdown⏎

Loop Based Profile⏎

Innermost Loop Based Profile⏎

Application Categorization⏎

Compilation Options⏎

Source Object	Issue
▼exec–
▼nbin.cpp–
○	-march=x86-64 is used but it should be replaced by a more architecture specific option or -march=native.
○	-funroll-loops is missing.
▼atom.cpp–
○	-march=x86-64 is used but it should be replaced by a more architecture specific option or -march=native.
○	-funroll-loops is missing.
▼platform.cpp–
○	-march=x86-64 is used but it should be replaced by a more architecture specific option or -march=native.
○	-funroll-loops is missing.
▼neighbor.cpp–
○	-march=x86-64 is used but it should be replaced by a more architecture specific option or -march=native.
○	-funroll-loops is missing.
▼group.cpp–
○	-march=x86-64 is used but it should be replaced by a more architecture specific option or -march=native.
○	-funroll-loops is missing.
▼domain_omp.cpp–
○	-march=x86-64 is used but it should be replaced by a more architecture specific option or -march=native.
○	-funroll-loops is missing.
▼lattice.cpp–
○	-march=x86-64 is used but it should be replaced by a more architecture specific option or -march=native.
○	-funroll-loops is missing.
▼fix_nve.cpp–
○	-march=x86-64 is used but it should be replaced by a more architecture specific option or -march=native.
○	-funroll-loops is missing.
▼verlet.cpp–
○	-march=x86-64 is used but it should be replaced by a more architecture specific option or -march=native.
○	-funroll-loops is missing.
▼modify.cpp–
○	-march=x86-64 is used but it should be replaced by a more architecture specific option or -march=native.
○	-funroll-loops is missing.
▼random_park.cpp–
○	-march=x86-64 is used but it should be replaced by a more architecture specific option or -march=native.
○	-funroll-loops is missing.
▼pair_eam.cpp–
○	-march=x86-64 is used but it should be replaced by a more architecture specific option or -march=native.
○	-funroll-loops is missing.
▼timer.cpp–
○	-march=x86-64 is used but it should be replaced by a more architecture specific option or -march=native.
○	-funroll-loops is missing.
▼pair.cpp–
○	-march=x86-64 is used but it should be replaced by a more architecture specific option or -march=native.
○	-funroll-loops is missing.
▼create_atoms.cpp–
○	-march=x86-64 is used but it should be replaced by a more architecture specific option or -march=native.
○	-funroll-loops is missing.
▼comm_brick.cpp–
○	-march=x86-64 is used but it should be replaced by a more architecture specific option or -march=native.
○	-funroll-loops is missing.
▼compute_temp.cpp–
○	-march=x86-64 is used but it should be replaced by a more architecture specific option or -march=native.
○	-funroll-loops is missing.
▼atom_vec.cpp–
○	-march=x86-64 is used but it should be replaced by a more architecture specific option or -march=native.
○	-funroll-loops is missing.
▼nbin_standard.cpp–
○	-march=x86-64 is used but it should be replaced by a more architecture specific option or -march=native.
○	-funroll-loops is missing.
▼npair_bin.cpp–
○	-march=x86-64 is used but it should be replaced by a more architecture specific option or -march=native.
○	-funroll-loops is missing.

Loop Path Count Profile⏎

Cumulated Speedup If No Scalar Integer⏎

Cumulated Speedup If FP Vectorized⏎

Cumulated Speedup If Fully Vectorized⏎

Cumulated Speedup If FP Arithmetic Only⏎