{"id":6885,"date":"2021-09-07T04:28:11","date_gmt":"2021-09-06T19:28:11","guid":{"rendered":"https:\/\/wp.study3.biz\/?p=6885"},"modified":"2025-12-13T17:25:41","modified_gmt":"2025-12-13T08:25:41","slug":"amd-epyc-7742-64-core-processor-x2-512gb-red-hat-enterprise-linux-release-8-3-titan-rtx-x2-cuda-11-3-samples-smokeparticles%e3%82%92%e8%a1%a8%e7%a4%ba%e3%81%95%e3%81%9b%e3%81%a6%e3%81%bf%e3%81%9f","status":"publish","type":"post","link":"https:\/\/wp.study3.biz\/?p=6885","title":{"rendered":"\u7b2c2\u4e16\u4ee3 AMD EPYC 7742 64-Core Processor x2 512GB Red Hat Enterprise Linux release 8.3 TITAN RTX x2 CUDA 11.3 Samples .\/smokeParticles\u3092\u8868\u793a\u3055\u305b\u3066\u307f\u305f"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.study3.biz\/wp-content\/uploads\/2021\/05\/Screenshot-from-2021-05-05-14-58-23.png\" alt=\"\" width=\"1920\" height=\"1080\" class=\"alignnone size-full wp-image-6897\" \/><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.study3.biz\/wp-content\/uploads\/2021\/05\/Screenshot-from-2021-05-05-14-58-24.png\" alt=\"\" width=\"1920\" height=\"1080\" class=\"alignnone size-full wp-image-6898\" \/><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.study3.biz\/wp-content\/uploads\/2021\/05\/Screenshot-from-2021-05-05-14-58-25.png\" alt=\"\" width=\"1920\" height=\"1080\" class=\"alignnone size-full wp-image-6899\" \/><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/wp.study3.biz\/wp-content\/uploads\/2021\/05\/Screenshot-from-2021-05-05-14-58-27.png\" alt=\"\" width=\"1920\" height=\"1080\" class=\"alignnone size-full wp-image-6900\" \/><br \/>\n[chibi@rhel8 ~]$ ls<br \/>\n Geekbench-4.4.2-Linux            \u30c0\u30a6\u30f3\u30ed\u30fc\u30c9   \u30c9\u30ad\u30e5\u30e1\u30f3\u30c8   \u753b\u50cf<br \/>\n NVIDIA_CUDA-11.3_Samples         \u30c6\u30f3\u30d7\u30ec\u30fc\u30c8   \u30d3\u30c7\u30aa         \u516c\u958b<br \/>\n&#8216;y-cruncher v0.7.8.9507-static&#8217;   \u30c7\u30b9\u30af\u30c8\u30c3\u30d7   \u97f3\u697d<br \/>\n[chibi@rhel8 ~]$ cd NVIDIA_CUDA-11.3_Samples<br \/>\n[chibi@rhel8 NVIDIA_CUDA-11.3_Samples]$ ls<br \/>\n0_Simple     3_Imaging      6_Advanced       LICENSE   common<br \/>\n1_Utilities  4_Finance      7_CUDALibraries  Makefile<br \/>\n2_Graphics   5_Simulations  EULA.txt         bin<br \/>\n[chibi@rhel8 NVIDIA_CUDA-11.3_Samples]$ cd 5_Simulations<br \/>\n[chibi@rhel8 5_Simulations]$ ls<br \/>\nfluidsGL    nbody           nbody_screen  particles<br \/>\nfluidsGLES  nbody_opengles  oceanFFT      smokeParticles<br \/>\n[chibi@rhel8 5_Simulations]$ cd smokeParticles<br \/>\n[chibi@rhel8 smokeParticles]$ ls<br \/>\nGLSLProgram.cpp         SmokeRenderer.h        nvQuaternion.h<br \/>\nGLSLProgram.h           SmokeRenderer.o        nvVector.h<br \/>\nGLSLProgram.o           SmokeShaders.cpp       particleDemo.cpp<br \/>\nGpuArray.h              SmokeShaders.h         particleDemo.o<br \/>\nMakefile                SmokeShaders.o particles_kernel.cuh<br \/>\nNsightEclipse.xml       data particles_kernel_device.cuh<br \/>\nParticleSystem.cpp      doc                    readme.txt<br \/>\nParticleSystem.cuh      findgllib.mk           renderbuffer.cpp<br \/>\nParticleSystem.h        framebufferObject.cpp  renderbuffer.h<br \/>\nParticleSystem.o        framebufferObject.h    renderbuffer.o<br \/>\nParticleSystem_cuda.cu  framebufferObject.o    smokeParticles<br \/>\nParticleSystem_cuda.o   nvMath.h<br \/>\nSmokeRenderer.cpp       nvMatrix.h<br \/>\n[chibi@rhel8 smokeParticles]$ .\/smokeParticles<br \/>\nCUDA Smoke Particles Starting&#8230;<\/p>\n<p>NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled.<\/p>\n<p>Loaded &#8216;.\/data\/floortile.ppm&#8217;, 256 x 256 pixels<br \/>\nGPU Device 0: &#8220;Turing&#8221; with compute capability 7.5<\/p>\n<p>[chibi@rhel8 smokeParticles]$ <\/p>\n<p>\u95a2\u9023<a href=\"https:\/\/wp.study3.biz\/?p=540\">\u30b5\u30a4\u30c8<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>[chibi@rhel8 ~]$ ls Geekbench-4.4.2-Linux \u30c0\u30a6\u30f3\u30ed\u30fc\u30c9 \u30c9\u30ad\u30e5\u30e1\u30f3\u30c8 \u753b\u50cf NVIDIA_CUDA-11.3_Samples \u30c6\u30f3\u30d7\u30ec\u30fc\u30c8 \u30d3\u30c7\u30aa \u516c\u958b &#8216;y-cru &hellip; <a href=\"https:\/\/wp.study3.biz\/?p=6885\">\u7d9a\u304d\u3092\u8aad\u3080 <span class=\"meta-nav\">&rarr;<\/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":[18,22],"tags":[],"class_list":["post-6885","post","type-post","status-publish","format-standard","hentry","category-nvidia","category-rhel8"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/6885","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=6885"}],"version-history":[{"count":4,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/6885\/revisions"}],"predecessor-version":[{"id":28957,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=\/wp\/v2\/posts\/6885\/revisions\/28957"}],"wp:attachment":[{"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6885"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6885"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.study3.biz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6885"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}