{"id":4186,"date":"2024-02-02T06:16:55","date_gmt":"2024-02-02T04:16:55","guid":{"rendered":"https:\/\/modinst.lu.lv\/?p=4186"},"modified":"2024-02-02T06:16:57","modified_gmt":"2024-02-02T04:16:57","slug":"investigation-of-openfoam-hydrodynamic-simulation-stability-and-scalability","status":"publish","type":"post","link":"https:\/\/modinst.lu.lv\/en\/investigation-of-openfoam-hydrodynamic-simulation-stability-and-scalability\/","title":{"rendered":"Investigation of OpenFOAM hydrodynamic simulation stability and scalability"},"content":{"rendered":"\n<p>During the EuroCC-2 project, Kirils Surovovs, the researcher at the Institute of Numerical Modelling, submitted an application for the resources of Luxembourg supercomputer <em>MeluXina<\/em> (12th most powerful supercomputer in the EU). The title of the application was \u201cInvestigation of <em>OpenFOAM<\/em> hydrodynamic simulation stability and scalability\u201d.&nbsp;<\/p>\n\n\n\n<p>The project was devoted to silicon melt flow simulations (e.g., hydrodynamic simulations) using <em>OpenFOAM<\/em> C++ library. The <em>OpenFOAM<\/em> library is widely used in both academical and industrial research groups. However, the current experience shows that the higher the number of used cores, the lower is the numerical stability of a simulation, which leads to numerical errors and divergence. Therefore, it is desirable to test <em>OpenFOAM<\/em> stability on a large number of computational cores, thus determining its scalability for large-scale HPC applications.<\/p>\n\n\n\n<p>The simulations on <em>MeluXina<\/em> cluster showed better scalability than on the previously tested clusters in Latvia (University of Latvia and Riga Technical University). Especially good result is, for example, almost 14-fold speed-up with the mesh with 3.2 million cells, when core number increased from 2 to 16. Such speed-up is superlinear (the speed increases more than the number of cores) and demonstrates the efficient use of HPC resources. During the project, optimal type of linear matrix solver (<em>GAMG<\/em>) and at least a lower bound of acceptable solver tolerances (9 times higher than standard) were obtained.<\/p>\n\n\n\n<p>This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement\u202fNo 101101903. The JU receives support from the Digital Europe Programme and Germany,\u202fBulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia,\u202fPoland, Portugal, Romania, Slovenia, Spain, Sweden, France, Netherlands, Belgium, Luxembourg, Slovakia, Norway, Turkiye, Republic of North Macedonia, Iceland, Montenegro, Serbia.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"643\" height=\"272\" src=\"https:\/\/modinst.lu.lv\/wp-content\/uploads\/2024\/02\/euro_hpc_logo.png\" alt=\"\" class=\"wp-image-4180\" style=\"width:187px;height:auto\" srcset=\"https:\/\/modinst.lu.lv\/wp-content\/uploads\/2024\/02\/euro_hpc_logo.png 643w, https:\/\/modinst.lu.lv\/wp-content\/uploads\/2024\/02\/euro_hpc_logo-300x127.png 300w\" sizes=\"auto, (max-width: 643px) 100vw, 643px\" \/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>During the EuroCC-2 project, Kirils Surovovs, the researcher at the Institute of Numerical Modelling, submitted an application for the resources of Luxembourg supercomputer MeluXina (12th most powerful supercomputer in the EU). The title of the application was \u201cInvestigation of OpenFOAM hydrodynamic simulation stability and scalability\u201d.&nbsp; The project was devoted to silicon melt flow simulations (e.g., [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":4191,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[14],"tags":[],"class_list":["post-4186","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Investigation of OpenFOAM hydrodynamic simulation stability and scalability - Institute of Numerical Modelling<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/modinst.lu.lv\/en\/investigation-of-openfoam-hydrodynamic-simulation-stability-and-scalability\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Investigation of OpenFOAM hydrodynamic simulation stability and scalability - Institute of Numerical Modelling\" \/>\n<meta property=\"og:description\" content=\"During the EuroCC-2 project, Kirils Surovovs, the researcher at the Institute of Numerical Modelling, submitted an application for the resources of Luxembourg supercomputer MeluXina (12th most powerful supercomputer in the EU). The title of the application was \u201cInvestigation of OpenFOAM hydrodynamic simulation stability and scalability\u201d.&nbsp; The project was devoted to silicon melt flow simulations (e.g., [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/modinst.lu.lv\/en\/investigation-of-openfoam-hydrodynamic-simulation-stability-and-scalability\/\" \/>\n<meta property=\"og:site_name\" content=\"Institute of Numerical Modelling\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/modinstlv\" \/>\n<meta property=\"article:published_time\" content=\"2024-02-02T04:16:55+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-02-02T04:16:57+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/modinst.lu.lv\/wp-content\/uploads\/2024\/02\/featured_image_kirils-1.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1669\" \/>\n\t<meta property=\"og:image:height\" content=\"575\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Miha\u0113ls Doro\u0146ins\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Miha\u0113ls Doro\u0146ins\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/modinst.lu.lv\\\/en\\\/investigation-of-openfoam-hydrodynamic-simulation-stability-and-scalability\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/modinst.lu.lv\\\/en\\\/investigation-of-openfoam-hydrodynamic-simulation-stability-and-scalability\\\/\"},\"author\":{\"name\":\"Miha\u0113ls Doro\u0146ins\",\"@id\":\"https:\\\/\\\/modinst.lu.lv\\\/en\\\/#\\\/schema\\\/person\\\/0cc8b45b0663ea4eb91eb0a2e0570d6d\"},\"headline\":\"Investigation of OpenFOAM hydrodynamic simulation stability and scalability\",\"datePublished\":\"2024-02-02T04:16:55+00:00\",\"dateModified\":\"2024-02-02T04:16:57+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/modinst.lu.lv\\\/en\\\/investigation-of-openfoam-hydrodynamic-simulation-stability-and-scalability\\\/\"},\"wordCount\":290,\"publisher\":{\"@id\":\"https:\\\/\\\/modinst.lu.lv\\\/en\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/modinst.lu.lv\\\/en\\\/investigation-of-openfoam-hydrodynamic-simulation-stability-and-scalability\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/modinst.lu.lv\\\/wp-content\\\/uploads\\\/2024\\\/02\\\/featured_image_kirils-1.png\",\"articleSection\":[\"News\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/modinst.lu.lv\\\/en\\\/investigation-of-openfoam-hydrodynamic-simulation-stability-and-scalability\\\/\",\"url\":\"https:\\\/\\\/modinst.lu.lv\\\/en\\\/investigation-of-openfoam-hydrodynamic-simulation-stability-and-scalability\\\/\",\"name\":\"Investigation of OpenFOAM hydrodynamic simulation stability and scalability - 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