Task04 Никита Вербин SPbSU #134
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// Убедитесь что название PR соответствует шаблону: // Впишите сюда (между pre и /pre тэгами) вывод тестирования на вашем компьютере: Локальный вывод
/mnt/data/Programming/ProgrammingSP/VideoCardCalc/GPGPUTasks2024/build/matrix_transpose 1
OpenCL devices:
Device #0: CPU. Intel(R) Core(TM) i5-7400 CPU @ 3.00GHz. Intel(R) Corporation. Total memory: 7900 Mb
Device #1: GPU. NVIDIA GeForce GTX 750 Ti. Total memory: 4033 Mb
Using device #1: GPU. NVIDIA GeForce GTX 750 Ti. Total memory: 4033 Mb
Data generated for M=4096, K=4096
[matrix_transpose_naive]
GPU: 0.00665927+-0.000303213 s
GPU: 2519.38 millions/s
[matrix_transpose_local_bad_banks]
GPU: 0.00288885+-5.97285e-05 s
GPU: 5807.58 millions/s
[matrix_transpose_local_good_banks]
GPU: 0.0025979+-4.05519e-05 s
GPU: 6457.99 millions/s
/mnt/data/Programming/ProgrammingSP/VideoCardCalc/GPGPUTasks2024/build/matrix_multiplication 1
OpenCL devices:
Device #0: CPU. Intel(R) Core(TM) i5-7400 CPU @ 3.00GHz. Intel(R) Corporation. Total memory: 7900 Mb
Device #1: GPU. NVIDIA GeForce GTX 750 Ti. Total memory: 4033 Mb
Using device #1: GPU. NVIDIA GeForce GTX 750 Ti. Total memory: 4033 Mb
Data generated for M=1024, K=1024, N=1024
CPU: 7.72198+-0 s
CPU: 0.259001 GFlops
[naive, ts=4]
GPU: 0.0774387+-0.000761379 s
GPU: 25.8269 GFlops
Average difference: 0.000149043%
[naive, ts=8]
GPU: 0.0419122+-1.43691e-05 s
GPU: 47.7188 GFlops
Average difference: 0.000149043%
[naive, ts=16]
GPU: 0.0256253+-0.000573867 s
GPU: 78.0478 GFlops
Average difference: 0.000149043%
[local, ts=4]
GPU: 0.0689645+-1.45574e-05 s
GPU: 29.0004 GFlops
Average difference: 0.000149043%
[local, ts=8]
GPU: 0.0212967+-8.84433e-06 s
GPU: 93.9114 GFlops
Average difference: 0.000149043%
[local, ts=16]
GPU: 0.0147798+-9.13631e-06 s
GPU: 135.32 GFlops
Average difference: 0.000149043%
[local wpt, ts=4, wpt=2]
GPU: 0.107218+-3.4946e-05 s
GPU: 18.6536 GFlops
Average difference: 0.000149043%
[local wpt, ts=4, wpt=4]
GPU: 0.204786+-6.3748e-05 s
GPU: 9.7663 GFlops
Average difference: 0.000149043%
[local wpt, ts=8, wpt=2]
GPU: 0.0209273+-2.14761e-05 s
GPU: 95.5688 GFlops
Average difference: 0.000149043%
[local wpt, ts=8, wpt=4]
GPU: 0.0288332+-3.00578e-05 s
GPU: 69.3646 GFlops
Average difference: 0.000149043%
[local wpt, ts=8, wpt=8]
GPU: 0.0661975+-1.15578e-05 s
GPU: 30.2126 GFlops
Average difference: 0.000149043%
[local wpt, ts=16, wpt=2]
GPU: 0.0109615+-3.5473e-06 s
GPU: 182.457 GFlops
Average difference: 0.000149043%
[local wpt, ts=16, wpt=4]
GPU: 0.0101667+-1.69967e-06 s
GPU: 196.721 GFlops
Average difference: 0.000149043%
[local wpt, ts=16, wpt=8]
GPU: 0.0129238+-9.99027e-06 s
GPU: 154.753 GFlops
Average difference: 0.000149043%
[local wpt, ts=16, wpt=16]
GPU: 0.0367468+-1.52689e-05 s
GPU: 54.4265 GFlops
Average difference: 0.000149043%
// Затем создайте PR, должна начать выполняться автоматическиая сборка на Github CI (Github Actions) - рядом с коммитом в PR появится оранжевый шарик (сборка в процессе), Вывод Github CI
./matrix_transpose
shell: /usr/bin/bash -e {0}
env:
BUILD_TYPE: RelWithDebInfo
OpenCL devices:
Device #0: CPU. AMD EPYC 7763 64-Core Processor . Intel(R) Corporation. Total memory: 15991 Mb
Using device #0: CPU. AMD EPYC 7763 64-Core Processor . Intel(R) Corporation. Total memory: 15991 Mb
Data generated for M=4096, K=4096
[matrix_transpose_naive]
GPU: 0.0155612+-0.00013746 s
GPU: 1078.15 millions/s
[matrix_transpose_local_bad_banks]
GPU: 0.0263048+-4.98146e-05 s
GPU: 637.799 millions/s
[matrix_transpose_local_good_banks]
GPU: 0.0273989+-7.18847e-05 s
GPU: 612.332 millions/s
./matrix_multiplication
shell: /usr/bin/bash -e {0}
env:
BUILD_TYPE: RelWithDebInfo
OpenCL devices:
Device #0: CPU. AMD EPYC 7763 64-Core Processor . Intel(R) Corporation. Total memory: 15991 Mb
Using device #0: CPU. AMD EPYC 7763 64-Core Processor . Intel(R) Corporation. Total memory: 15991 Mb
Data generated for M=1024, K=1024, N=1024
CPU: 6.313+-0 s
CPU: 0.316806 GFlops
[naive, ts=4]
GPU: 0.26489+-0.00227359 s
GPU: 7.5503 GFlops
Average difference: 0.000149043%
[naive, ts=8]
GPU: 0.260856+-0.00302101 s
GPU: 7.66708 GFlops
Average difference: 0.000149043%
[naive, ts=16]
GPU: 0.264585+-0.00630681 s
GPU: 7.55901 GFlops
Average difference: 0.000149043%
[local, ts=4]
GPU: 0.92003+-0.00340236 s
GPU: 2.17384 GFlops
Average difference: 0.000149043%
[local, ts=8]
GPU: 0.18696+-0.000637197 s
GPU: 10.6975 GFlops
Average difference: 0.000149043%
[local, ts=16]
GPU: 0.124166+-0.000385947 s
GPU: 16.1074 GFlops
Average difference: 0.000149043%
[local wpt, ts=4, wpt=2]
GPU: 0.947565+-0.001652 s
GPU: 2.11067 GFlops
Average difference: 0.000149043%
[local wpt, ts=4, wpt=4]
GPU: 0.782714+-0.00185724 s
GPU: 2.55521 GFlops
Average difference: 0.000149043%
[local wpt, ts=8, wpt=2]
GPU: 0.212608+-0.00029748 s
GPU: 9.40697 GFlops
Average difference: 0.000149043%
[local wpt, ts=8, wpt=4]
GPU: 0.22813+-0.000416355 s
GPU: 8.76692 GFlops
Average difference: 0.000149043%
[local wpt, ts=8, wpt=8]
GPU: 0.209914+-0.00052147 s
GPU: 9.52771 GFlops
Average difference: 0.000149043%
[local wpt, ts=16, wpt=2]
GPU: 0.138075+-0.000485082 s
GPU: 14.4849 GFlops
Average difference: 0.000149043%
[local wpt, ts=16, wpt=4]
GPU: 0.144341+-0.00479876 s
GPU: 13.8561 GFlops
Average difference: 0.000149043%
[local wpt, ts=16, wpt=8]
GPU: 0.13521+-0.000230756 s
GPU: 14.7918 GFlops
Average difference: 0.000149043%
[local wpt, ts=16, wpt=16]
GPU: 0.146567+-0.000239671 s
GPU: 13.6457 GFlops
Average difference: 0.000149043%
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