{"id":1436,"date":"2020-05-07T01:54:25","date_gmt":"2020-05-06T16:54:25","guid":{"rendered":"https:\/\/wp.study3.biz\/?p=1436"},"modified":"2020-05-07T01:54:59","modified_gmt":"2020-05-06T16:54:59","slug":"ubuntu16-04-5-titan-vx2-gtx1080tix2-gt1030-cuda9-2-sample-nbody-benchmark-%e3%82%92%e5%8b%95%e4%bd%9c%e3%81%95%e3%81%9b%e3%81%a6%e3%81%bf%e3%81%9f23956-714-gflop-s","status":"publish","type":"post","link":"https:\/\/wp.study3.biz\/?p=1436","title":{"rendered":"Ubuntu16.04.5 TITAN Vx2 GTX1080Tix2 GT1030 CUDA9.2 Sample nbody benchmark \u3092\u52d5\u4f5c\u3055\u305b\u3066\u307f\u305f23956.714 GFLOP\/s"},"content":{"rendered":"

chibi@1604:~\/NVIDIA_CUDA-9.2_Samples\/5_Simulations\/nbody$ .\/nbody –benchmark –numbodies=256000 -numdevices=5
Run “nbody -benchmark [-numbodies=<numBodies>]” to measure performance.
-fullscreen (run n-body simulation in fullscreen mode)
-fp64 (use double precision floating point values for simulation)
-hostmem (stores simulation data in host memory)
-benchmark (run benchmark to measure performance)
-numbodies=<N> (number of bodies (>= 1) to run in simulation)
-device=<d> (where d=0,1,2…. for the CUDA device to use)
-numdevices=<i> (where i=(number of CUDA devices > 0) to use for simulation)
-compare (compares simulation results running once on the default GPU and once on the CPU)
-cpu (run n-body simulation on the CPU)
-tipsy=<file.bin> (load a tipsy model file for simulation)<\/p>\r\n

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

number of CUDA devices = 5
> Windowed mode
> Simulation data stored in system memory
> Single precision floating point simulation
> 5 Devices used for simulation
GPU Device 0: “TITAN V” with compute capability 7.0<\/p>\r\n

> Compute 7.0 CUDA device: [TITAN V]
> Compute 7.0 CUDA device: [TITAN V]
> Compute 6.1 CUDA device: [GeForce GTX 1080 Ti]
> Compute 6.1 CUDA device: [GeForce GTX 1080 Ti]
> Compute 6.1 CUDA device: [GeForce GT 1030]
number of bodies = 256000
256000 bodies, total time for 10 iterations: 547.120 ms
= 1197.836 billion interactions per second
= 23956.714<\/strong> single-precision GFLOP\/s at 20 flops per interaction
chibi@1604:~\/NVIDIA_CUDA-9.2_Samples\/5_Simulations\/nbody$ cat \/etc\/os-release
NAME=”Ubuntu”
VERSION=”16.04.5 LTS (Xenial Xerus)”
ID=ubuntu
ID_LIKE=debian
PRETTY_NAME=”Ubuntu 16.04.5 LTS”
VERSION_ID=”16.04″
HOME_URL=”http:\/\/www.ubuntu.com\/”
SUPPORT_URL=”http:\/\/help.ubuntu.com\/”
BUG_REPORT_URL=”http:\/\/bugs.launchpad.net\/ubuntu\/”
VERSION_CODENAME=xenial
UBUNTU_CODENAME=xenial
chibi@1604:~\/NVIDIA_CUDA-9.2_Samples\/5_Simulations\/nbody$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Tue_Jun_12_23:07:04_CDT_2018
Cuda compilation tools, release 9.2, V9.2.148
chibi@1604:~\/NVIDIA_CUDA-9.2_Samples\/5_Simulations\/nbody$ sudo hddtemp \/dev\/sda
\/dev\/sda: SATA SSD: 30\u00b0C
chibi@1604:~\/NVIDIA_CUDA-9.2_Samples\/5_Simulations\/nbody$Ubuntu16.04.5 TITAN Vx2 GTX1080Tix2 GT1030 CUDA9.2 Sample nbody benchmark 23956.714 GFLOPs nvidia-smi sensors<\/a><\/p>\r\n","protected":false},"excerpt":{"rendered":"

chibi@1604:~\/NVIDIA_CUDA-9.2_Samples\/5_Simulations\/nbody$ .\/nbody –benchmark –numbodies=256000 -nu … \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":[19,18],"tags":[],"class_list":["post-1436","post","type-post","status-publish","format-standard","hentry","category-centos7","category-nvidia"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/1436","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=1436"}],"version-history":[{"count":2,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/1436\/revisions"}],"predecessor-version":[{"id":1441,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/1436\/revisions\/1441"}],"wp:attachment":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1436"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1436"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1436"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}