1. Hans-Nikolai Viessmann
  2. distprog

Commits

Hans-Nikolai Viessmann  committed 52c6e94

Added data set for optimized SaC code

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  • Parent commits c46b4a1
  • Branches master

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Files changed (1)

File cw2/sac_optz_mt/TotientRange.sac.result

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+Runtime and Profiling for TotientRange.sac by [15000 30000 100000]
+# Range 15000 - thread 1 - iter 1:
+12.660403 68394315 1
+# Range 15000 - thread 1 - iter 2:
+12.648078 68394315 1
+# Range 15000 - thread 1 - iter 3:
+12.647811 68394315 1
+# Range 15000 - thread 2 - iter 1:
+6.430449 68394315 2
+# Range 15000 - thread 2 - iter 2:
+6.429526 68394315 2
+# Range 15000 - thread 2 - iter 3:
+6.427056 68394315 2
+# Range 15000 - thread 3 - iter 1:
+4.321109 68394315 3
+# Range 15000 - thread 3 - iter 2:
+4.319686 68394315 3
+# Range 15000 - thread 3 - iter 3:
+4.322832 68394315 3
+# Range 15000 - thread 4 - iter 1:
+3.257587 68394315 4
+# Range 15000 - thread 4 - iter 2:
+3.256916 68394315 4
+# Range 15000 - thread 4 - iter 3:
+3.253402 68394315 4
+# Range 15000 - thread 5 - iter 1:
+2.621114 68394315 5
+# Range 15000 - thread 5 - iter 2:
+2.612285 68394315 5
+# Range 15000 - thread 5 - iter 3:
+2.620303 68394315 5
+# Range 15000 - thread 6 - iter 1:
+2.182619 68394315 6
+# Range 15000 - thread 6 - iter 2:
+2.182155 68394315 6
+# Range 15000 - thread 6 - iter 3:
+2.185861 68394315 6
+# Range 15000 - thread 7 - iter 1:
+1.876561 68394315 7
+# Range 15000 - thread 7 - iter 2:
+1.883766 68394315 7
+# Range 15000 - thread 7 - iter 3:
+1.875332 68394315 7
+# Range 15000 - thread 8 - iter 1:
+1.646837 68394315 8
+# Range 15000 - thread 8 - iter 2:
+1.673513 68394315 8
+# Range 15000 - thread 8 - iter 3:
+1.645334 68394315 8
+# Range 15000 - thread 16 - iter 1:
+1.101035 68394315 16
+# Range 15000 - thread 16 - iter 2:
+1.145889 68394315 16
+# Range 15000 - thread 16 - iter 3:
+1.085276 68394315 16
+# Range 15000 - thread 32 - iter 1:
+1.426449 68394315 32
+# Range 15000 - thread 32 - iter 2:
+1.289223 68394315 32
+# Range 15000 - thread 32 - iter 3:
+1.440626 68394315 32
+# Range 30000 - thread 1 - iter 1:
+54.445792 273571773 1
+# Range 30000 - thread 1 - iter 2:
+55.519794 273571773 1
+# Range 30000 - thread 1 - iter 3:
+55.931691 273571773 1
+# Range 30000 - thread 2 - iter 1:
+29.141365 273571773 2
+# Range 30000 - thread 2 - iter 2:
+28.104659 273571773 2
+# Range 30000 - thread 2 - iter 3:
+28.823475 273571773 2
+# Range 30000 - thread 3 - iter 1:
+18.975401 273571773 3
+# Range 30000 - thread 3 - iter 2:
+19.400786 273571773 3
+# Range 30000 - thread 3 - iter 3:
+18.820747 273571773 3
+# Range 30000 - thread 4 - iter 1:
+15.739600 273571773 4
+# Range 30000 - thread 4 - iter 2:
+14.166327 273571773 4
+# Range 30000 - thread 4 - iter 3:
+14.343141 273571773 4
+# Range 30000 - thread 5 - iter 1:
+11.321667 273571773 5
+# Range 30000 - thread 5 - iter 2:
+11.581080 273571773 5
+# Range 30000 - thread 5 - iter 3:
+11.425933 273571773 5
+# Range 30000 - thread 6 - iter 1:
+9.557935 273571773 6
+# Range 30000 - thread 6 - iter 2:
+9.397346 273571773 6
+# Range 30000 - thread 6 - iter 3:
+9.395834 273571773 6
+# Range 30000 - thread 7 - iter 1:
+8.074311 273571773 7
+# Range 30000 - thread 7 - iter 2:
+8.080594 273571773 7
+# Range 30000 - thread 7 - iter 3:
+8.063823 273571773 7
+# Range 30000 - thread 8 - iter 1:
+7.103858 273571773 8
+# Range 30000 - thread 8 - iter 2:
+7.053380 273571773 8
+# Range 30000 - thread 8 - iter 3:
+7.103343 273571773 8
+# Range 30000 - thread 16 - iter 1:
+4.174978 273571773 16
+# Range 30000 - thread 16 - iter 2:
+4.395088 273571773 16
+# Range 30000 - thread 16 - iter 3:
+4.406758 273571773 16
+# Range 30000 - thread 32 - iter 1:
+4.538052 273571773 32
+# Range 30000 - thread 32 - iter 2:
+4.653531 273571773 32
+# Range 30000 - thread 32 - iter 3:
+6.284009 273571773 32
+# Range 100000 - thread 1 - iter 1:
+683.097489 3039650753 1
+# Range 100000 - thread 1 - iter 2:
+685.582004 3039650753 1
+# Range 100000 - thread 1 - iter 3:
+677.510115 3039650753 1
+# Range 100000 - thread 2 - iter 1:
+343.059621 3039650753 2
+# Range 100000 - thread 2 - iter 2:
+343.010996 3039650753 2
+# Range 100000 - thread 2 - iter 3:
+342.870973 3039650753 2
+# Range 100000 - thread 3 - iter 1:
+230.262237 3039650753 3
+# Range 100000 - thread 3 - iter 2:
+230.621027 3039650753 3
+# Range 100000 - thread 3 - iter 3:
+230.158987 3039650753 3
+# Range 100000 - thread 4 - iter 1:
+173.407144 3039650753 4
+# Range 100000 - thread 4 - iter 2:
+173.373712 3039650753 4
+# Range 100000 - thread 4 - iter 3:
+173.439358 3039650753 4
+# Range 100000 - thread 5 - iter 1:
+139.135648 3039650753 5
+# Range 100000 - thread 5 - iter 2:
+139.234728 3039650753 5
+# Range 100000 - thread 5 - iter 3:
+139.121823 3039650753 5
+# Range 100000 - thread 6 - iter 1:
+116.219423 3039650753 6
+# Range 100000 - thread 6 - iter 2:
+116.223052 3039650753 6
+# Range 100000 - thread 6 - iter 3:
+116.186018 3039650753 6
+# Range 100000 - thread 7 - iter 1:
+99.775483 3039650753 7
+# Range 100000 - thread 7 - iter 2:
+99.769391 3039650753 7
+# Range 100000 - thread 7 - iter 3:
+99.790871 3039650753 7
+# Range 100000 - thread 8 - iter 1:
+87.463621 3039650753 8
+# Range 100000 - thread 8 - iter 2:
+87.509630 3039650753 8
+# Range 100000 - thread 8 - iter 3:
+87.450955 3039650753 8
+# Range 100000 - thread 16 - iter 1:
+48.212593 3039650753 16
+# Range 100000 - thread 16 - iter 2:
+49.167646 3039650753 16
+# Range 100000 - thread 16 - iter 3:
+48.310653 3039650753 16
+# Range 100000 - thread 32 - iter 1:
+49.156355 3039650753 32
+# Range 100000 - thread 32 - iter 2:
+49.213063 3039650753 32
+# Range 100000 - thread 32 - iter 3:
+49.160240 3039650753 32