Skip to content

Instantly share code, notes, and snippets.

@wolfram77

wolfram77/output-vector-sum-openmp--compare-sequential-float.csv

Last active February 11, 2023 06:09
Show Gist options
  • Save wolfram77/9b90248012dda38727d57e12786ff40c to your computer and use it in GitHub Desktop.
Save wolfram77/9b90248012dda38727d57e12786ff40c to your computer and use it in GitHub Desktop.
Download ZIP
Performance of sequential vs OpenMP-based vector element sum : OUTPUT
Raw
output-vector-sum-openmp--compare-sequential-float.csv
time elements sum technique
0.053 10000 1.644725 sumSeq
0.446 10000 1.644834 sumOpenmp
0.347 100000 1.644725 sumSeq
0.067 100000 1.644919 sumOpenmp
1.852 1000000 1.644725 sumSeq
0.09 1000000 1.644756 sumOpenmp
14.484 10000000 1.644725 sumSeq
1.646 10000000 1.644728 sumOpenmp
148.799 100000000 1.644725 sumSeq
8.172 100000000 1.644726 sumOpenmp
1660.869 1000000000 1.644725 sumSeq
78.691 1000000000 1.644725 sumOpenmp
Raw
output-vector-sum-openmp--compare-sequential-float.log
[00000.053 ms; 1e+04 elems.] [1.644725] sumSeq
[00000.446 ms; 1e+04 elems.] [1.644834] sumOpenmp
[00000.347 ms; 1e+05 elems.] [1.644725] sumSeq
[00000.067 ms; 1e+05 elems.] [1.644919] sumOpenmp
[00001.852 ms; 1e+06 elems.] [1.644725] sumSeq
[00000.090 ms; 1e+06 elems.] [1.644756] sumOpenmp
[00014.484 ms; 1e+07 elems.] [1.644725] sumSeq
[00001.646 ms; 1e+07 elems.] [1.644728] sumOpenmp
[00148.799 ms; 1e+08 elems.] [1.644725] sumSeq
[00008.172 ms; 1e+08 elems.] [1.644726] sumOpenmp
[01660.869 ms; 1e+09 elems.] [1.644725] sumSeq
[00078.691 ms; 1e+09 elems.] [1.644725] sumOpenmp
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment