{"id":15623,"date":"2023-05-06T06:28:50","date_gmt":"2023-05-05T21:28:50","guid":{"rendered":"https:\/\/wp.study3.biz\/?p=15623"},"modified":"2025-12-13T16:52:11","modified_gmt":"2025-12-13T07:52:11","slug":"amd-epyc-7742-64-core-processor-x2-512gb-ubuntu-20-04-6-lts-rtx-a5000-24gb-cuda-11-4-samples-nobody-benchmark-%e5%8d%98%e7%b2%be%e5%ba%a6-%e3%81%a7%e5%8b%95%e4%bd%9c%e3%81%95%e3%81%9b%e3%81%a6","status":"publish","type":"post","link":"https:\/\/wp.study3.biz\/?p=15623","title":{"rendered":"\u7b2c2\u4e16\u4ee3 AMD EPYC 7742 64-Core Processor x2 512GB Ubuntu 20.04.6 LTS RTX A5000-24GB CUDA 11.4 Samples .\/nobody -benchmark \u5358\u7cbe\u5ea6 \u3067\u52d5\u4f5c\u3055\u305b\u3066\u307f\u305f 14061.221GFLOP\/s"},"content":{"rendered":"

\"\"
\nchibi@2004:~\/NVIDIA_CUDA-11.4_Samples\/5_Simulations\/nbody$ .\/nbody -benchmark -numbodies=256000 -device=0
\nRun “nbody -benchmark [-numbodies=]” to measure performance.
\n -fullscreen (run n-body simulation in fullscreen mode)
\n -fp64 (use double precision floating point values for simulation)
\n -hostmem (stores simulation data in host memory)
\n -benchmark (run benchmark to measure performance)
\n -numbodies= (number of bodies (>= 1) to run in simulation)
\n -device= (where d=0,1,2…. for the CUDA device to use)
\n -numdevices= (where i=(number of CUDA devices > 0) to use for simulation)
\n -compare (compares simulation results running once on the default GPU and once on the CPU)
\n -cpu (run n-body simulation on the CPU)
\n -tipsy= (load a tipsy model file for simulation)<\/p>\n

NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled.<\/p>\n

> Windowed mode
\n> Simulation data stored in video memory
\n> Single precision floating point simulation
\n> 1 Devices used for simulation
\ngpuDeviceInit() CUDA Device [0]: “Ampere
\n> Compute 8.6 CUDA device: [NVIDIA RTX A5000]
\nnumber of bodies = 256000
\n256000 bodies, total time for 10 iterations: 932.152 ms
\n= 703.061 billion interactions per second
\n= 14061.221<\/strong> single-precision GFLOP\/s at 20 flops per interaction
\nchibi@2004:~\/NVIDIA_CUDA-11.4_Samples\/5_Simulations\/nbody$
\nRTX A5000-24GB CUDA 11.4 \u25a0\u5358\u7cbe\u5ea6\u7d50\u679c =14061.221<\/strong> single-precision GFLOP\/s at 20 flops per interaction
\nTesla V100-SXM2-16GB CUDA 10.1 \u25a0\u5358\u7cbe\u5ea6\u7d50\u679c =9033.258 single-precision GFLOP\/s at 20 flops per interaction
\nAMD EPYC 7742 64-Core Processor x2 512GB Ubuntu 20.04.6 LTS RTX A5000-24GB CUDA 11.4 Samples nobody benchmark \u3092\u5358\u7cbe\u5ea6 \u3067\u52d5\u4f5c\u3055\u305b\u3066\u307f\u305f 14061.221 GFLOP s\u3000deviceQuery<\/a>AMD EPYC 7742 64-Core Processor x2 512GB Ubuntu 20.04.6 LTS RTX A5000-24GB CUDA 11.4 Samples nobody benchmark \u3092\u5358\u7cbe\u5ea6 \u3067\u52d5\u4f5c\u3055\u305b\u3066\u307f\u305f 14061.221 GFLOP s\u3000nvidia-smi<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

chibi@2004:~\/NVIDIA_CUDA-11.4_Samples\/5_Simulations\/nbody$ .\/nbody -benchmark -numbodies=256000 -device=0 Run … \u7d9a\u304d\u3092\u8aad\u3080 →<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[18,17],"tags":[],"class_list":["post-15623","post","type-post","status-publish","format-standard","hentry","category-nvidia","category-ubuntu"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/15623","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=15623"}],"version-history":[{"count":6,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/15623\/revisions"}],"predecessor-version":[{"id":28850,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/15623\/revisions\/28850"}],"wp:attachment":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=15623"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=15623"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=15623"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}