


{"id":360829,"date":"2024-04-06T04:48:50","date_gmt":"2024-04-06T04:48:50","guid":{"rendered":"\/forum\/forums\/topic\/gpu-acceleration-in-cfd-analysis\/"},"modified":"2024-04-16T08:01:04","modified_gmt":"2024-04-16T08:01:04","slug":"gpu-acceleration-in-cfd-analysis","status":"closed","type":"topic","link":"https:\/\/innovationspace.ansys.com\/forum\/forums\/topic\/gpu-acceleration-in-cfd-analysis\/","title":{"rendered":"GPU acceleration in CFD analysis"},"content":{"rendered":"<p>Hello everyone, I am trying to speed up my simple CFD (flow over body), I have dell precision tower with dual xeon e5 2690 v4, with 28 cores and 56 threads, and RTX 3050 24GB. The issue i am facing is that while performing CFD, usig SIMPLE method the simulation runs perfectly but GPU utilization is zero and when I shift to COUPLED method it utilizes GPU but consupmtion time is very large (about 50% more as compared to before). Kindly guide as to how I can shift to full GPU utilization with minimal time. For reference I am attachng a time comparison data.<br \/><img decoding=\"async\" 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\"><\/p>\n","protected":false},"template":"","class_list":["post-360829","topic","type-topic","status-closed","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- 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The issue i am facing is that while performing CFD, usig SIMPLE method the simulation runs perfectly but GPU utilization\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<link rel=\"canonical\" href=\"https:\/\/innovationspace.ansys.com\/forum\/forums\/topic\/gpu-acceleration-in-cfd-analysis\/\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 4.9.10\" \/>\n\t\t<meta property=\"og:locale\" content=\"en_US\" \/>\n\t\t<meta property=\"og:site_name\" content=\"Ansys Learning Forum | Ansys Innovation Space\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"GPU acceleration in CFD analysis | Ansys Learning Forum\" \/>\n\t\t<meta property=\"og:description\" content=\"Hello everyone, I am trying to speed up my simple CFD (flow over body), I have dell precision tower with dual xeon e5 2690 v4, with 28 cores and 56 threads, and RTX 3050 24GB. The issue i am facing is that while performing CFD, usig SIMPLE method the simulation runs perfectly but GPU utilization\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/innovationspace.ansys.com\/forum\/forums\/topic\/gpu-acceleration-in-cfd-analysis\/\" \/>\n\t\t<meta property=\"og:image\" 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\" 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\" \/>\n\t\t<meta property=\"article:published_time\" content=\"2024-04-06T04:48:50+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2024-04-16T08:01:04+00:00\" \/>\n\t\t<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n\t\t<meta name=\"twitter:title\" content=\"GPU acceleration in CFD analysis | Ansys Learning Forum\" \/>\n\t\t<meta name=\"twitter:description\" content=\"Hello everyone, I am trying to speed up my simple CFD (flow over body), I have dell precision tower with dual xeon e5 2690 v4, with 28 cores and 56 threads, and RTX 3050 24GB. The issue i am facing is that while performing CFD, usig SIMPLE method the simulation runs perfectly but GPU utilization\" \/>\n\t\t<meta name=\"twitter:image\" 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","og:image:secure_url":"https:\/\/innovationspace.ansys.com\/forum\/image\/png;base64,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","article:published_time":"2024-04-06T04:48:50+00:00","article:modified_time":"2024-04-16T08:01:04+00:00","twitter:card":"summary_large_image","twitter:title":"GPU acceleration in CFD analysis | Ansys Learning Forum","twitter:description":"Hello everyone, I am trying to speed up my simple CFD (flow over body), I have dell precision tower with dual xeon e5 2690 v4, with 28 cores and 56 threads, and RTX 3050 24GB. The issue i am facing is that while performing CFD, usig SIMPLE method the simulation runs perfectly but GPU utilization","twitter:image":"https:\/\/innovationspace.ansys.com\/forum\/image\/png;base64,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