{"id":61532,"date":"2024-11-21T07:11:55","date_gmt":"2024-11-21T12:11:55","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/simcenter\/?p=61532"},"modified":"2026-03-26T06:40:03","modified_gmt":"2026-03-26T10:40:03","slug":"simulation-acceleration-amesim-2410","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/simcenter\/simulation-acceleration-amesim-2410\/","title":{"rendered":"Maximizing efficiency: accelerate your simulations with Simcenter Amesim 2410"},"content":{"rendered":"\n<p>Simcenter Amesim 2410 marks a significant leap forward in simulation efficiency and computational performance, with improvements tailored to address the ever-growing complexity of engineering systems. Here&#8217;s an overview of the key computational performance enhancements in this latest release.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Platform simulation acceleration<\/h2>\n\n\n\n<p>One of the major improvements in Simcenter Amesim 2410 comes from the platform-level simulation acceleration. This release introduces a new solver algorithm that significantly reduces redundant calculations. By reusing previously computed equational matrices, the software minimizes the need for repeated calculations, enhancing the overall speed of simulations.<\/p>\n\n\n\n<p>Additionally, high-performance matrix operations are now a core part of the solver. Thanks to the integration of an advanced matrix library, the solver can <strong>handle large models more efficiently<\/strong>, resulting in notably faster simulations, especially for multi-physics models with complex structures or numerous state variables. These enhancements are now the default settings in version 2410, streamlining the user experience.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Performance benchmarks<\/h2>\n\n\n\n<p>Across various applications, Simcenter Amesim 2410 outshines its predecessor version as well as competitors solving times. The following are some of the most impressive gains observed:<\/p>\n\n\n\n<div class=\"wp-block-cb-carousel\" data-slick=\"{&quot;slidesToShow&quot;:2,&quot;slidesToScroll&quot;:1,&quot;speed&quot;:300,&quot;arrows&quot;:true,&quot;dots&quot;:true,&quot;autoplay&quot;:false,&quot;autoplaySpeed&quot;:3000,&quot;infinite&quot;:true,&quot;responsive&quot;:[{&quot;breakpoint&quot;:769,&quot;settings&quot;:{&quot;slidesToShow&quot;:1,&quot;slidesToScroll&quot;:1}}]}\">\n<div class=\"wp-block-cb-slide\">\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-8cf370e7 wp-block-group-is-layout-flex\">\n<h4 class=\"wp-block-heading\">Aeronautics &amp; Space applications<\/h4>\n\n\n\n<p class=\"has-text-align-left wp-container-content-b04ba3db\">Simulations in the aeronautics and space domain have seen an average CPU time reduction of 25%. For example, one demo scenario reduced processing time from 85 seconds to just 40 seconds, reflecting a 52% reduction. Other scenarios achieved performance gains of over 30%, highlighting a drastic improvement in the speed of aerospace-related demos.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d2c626cbfe9&quot;}\" data-wp-interactive=\"core\/image\" class=\"aligncenter size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1174\" height=\"679\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on-async--click=\"actions.showLightbox\" data-wp-on-async--load=\"callbacks.setButtonStyles\" data-wp-on-async-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2024\/11\/Comparison-Aerospace2.png\" alt=\"Solver update in Simcenter Amesim 2410 leads to acceleration of simulations for aerospace applications\" class=\"wp-image-62178\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2024\/11\/Comparison-Aerospace2.png 1174w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2024\/11\/Comparison-Aerospace2-600x347.png 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2024\/11\/Comparison-Aerospace2-1024x592.png 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2024\/11\/Comparison-Aerospace2-768x444.png 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2024\/11\/Comparison-Aerospace2-900x521.png 900w\" sizes=\"auto, (max-width: 1174px) 100vw, 1174px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on-async--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Simulation time improvements for aerospace and defense applications <\/figcaption><\/figure><\/div><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-cb-slide\">\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-8cf370e7 wp-block-group-is-layout-flex\">\n<h4 class=\"wp-block-heading\">Automotive applications<\/h4>\n\n\n\n<p class=\"has-text-align-left wp-container-content-b04ba3db\">Automotive solutions also saw substantial simulation acceleration. <strong>On average, CPU time decreased by 38%<\/strong>, with some specific tests cutting time by as much as 82%. For instance, a highly detailed engine model that previously took 251 seconds to simulate now takes only 45 seconds \u2014 a reduction of over 80%.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d2c626cd021&quot;}\" data-wp-interactive=\"core\/image\" class=\"aligncenter size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1175\" height=\"680\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on-async--click=\"actions.showLightbox\" data-wp-on-async--load=\"callbacks.setButtonStyles\" data-wp-on-async-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2024\/11\/Comparison-Automotive2.png\" alt=\"Solver update in Simcenter Amesim 2410 leads to acceleration of simulations for automotive applications\" class=\"wp-image-62179\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2024\/11\/Comparison-Automotive2.png 1175w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2024\/11\/Comparison-Automotive2-600x347.png 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2024\/11\/Comparison-Automotive2-1024x593.png 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2024\/11\/Comparison-Automotive2-768x444.png 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2024\/11\/Comparison-Automotive2-900x521.png 900w\" sizes=\"auto, (max-width: 1175px) 100vw, 1175px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on-async--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Simcenter Amesim 2410 simulation acceleration for automotive <\/figcaption><\/figure><\/div><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-cb-slide\">\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-8cf370e7 wp-block-group-is-layout-flex\">\n<h4 class=\"wp-block-heading\">Other industries<\/h4>\n\n\n\n<p class=\"has-text-align-left wp-container-content-b04ba3db\">For other industries like marine and heavy equipment, the average CPU time decreased by 27%. For example, the demo on the external gear pump showed a reduced simulation time from 231 seconds to 73 seconds, a 69% improvement.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d2c626cdacd&quot;}\" data-wp-interactive=\"core\/image\" class=\"aligncenter size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1172\" height=\"678\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on-async--click=\"actions.showLightbox\" data-wp-on-async--load=\"callbacks.setButtonStyles\" data-wp-on-async-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2024\/11\/Comparison-Other.png\" alt=\"Solver update in Simcenter Amesim 2410 leads to acceleration of simulations for other applications\" class=\"wp-image-62180\" srcset=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2024\/11\/Comparison-Other.png 1172w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2024\/11\/Comparison-Other-600x347.png 600w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2024\/11\/Comparison-Other-1024x592.png 1024w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2024\/11\/Comparison-Other-768x444.png 768w, https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2024\/11\/Comparison-Other-900x521.png 900w\" sizes=\"auto, (max-width: 1172px) 100vw, 1172px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on-async--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Simcenter Amesim 2410 simulation time improvements for IM and HE <\/figcaption><\/figure><\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Acceleration made tangible<\/h2>\n\n\n\n<p>In developing software like Simcenter Amesim, we use automated test protocols to make sure everything works smoothly and accurately, and to test large number of scenarios simultaneously. The results of these tests are shown in the paragraphs above.  While these tests are crucial and offer impressive results, it&#8217;s nice to make the difference as tangible as possible to fully see the value of this improvement. <\/p>\n\n\n\n<p>To give you a clear picture, we did a 1:1 comparison, which you can check out in the video below. This side-by-side look really highlights how much faster the new version runs. The actual simulation times can vary based on your specific setup and hardware, but in this example you see the difference when exactly the same demo model is run on the same machine, both in Simcenter Amesim 2404 and Simcenter Amesim 2410. <\/p>\n\n\n\n<figure class=\"wp-block-video aligncenter\"><video controls src=\"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2024\/11\/Solver-update-1.mp4\"><\/video><figcaption class=\"wp-element-caption\">Simcenter Amesim 2410 solver update<\/figcaption><\/figure>\n\n\n\n<p>Imagine the impact of saving 66% on your simulation time with Simcenter Amesim. If you frequently use the software, this isn&#8217;t just a minor improvement\u2014it&#8217;s a game changer. For instance, in the same time it used to take to run one simulation, you can now run three. This means you can explore more design variations, optimize your models more thoroughly, and ultimately get your projects done faster. But it\u2019s not all work and no play. With the extra time, you could catch up on your favorite show, enjoy a longer coffee break, or even take a quick walk to clear your mind. The possibilities are endless, and the time you save is yours to use however you like.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion<\/h2>\n\n\n\n<p>Simcenter Amesim 2410 brings unprecedented speed and performance gains to system simulation, enabling engineers to tackle complex, large-scale models with greater efficiency. As an example of the value fast simulation can bring, <a href=\"https:\/\/resources.sw.siemens.com\/en-US\/case-study-sub-zero-group\" target=\"_blank\" rel=\"noreferrer noopener\">Sub-Zero Group utilized Simcenter Amesim<\/a> to significantly reduce product development time for its high-end refrigerators. By leveraging 1D simulations, Sub-Zero lowered computational costs and eliminated the need for physical prototypes, allowing the company to efficiently evaluate energy consumption and optimize refrigeration systems. <\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Simcenter Amesim was so effective that Sub-Zero expects to have its design exploration time reduced from two months to one week, a decrease of 88 percent.<\/p>\n<cite>Anderson Bortoletto, Principal Engineer, Advanced Product Development , Sub-Zero Group<\/cite><\/blockquote>\n\n\n\n<p>The new solver algorithms, combined with optimized matrix operations, allow for simulation acceleration across various use cases. Whether in aerospace, automotive, energy, or industrial applications, Simcenter Amesim 2410 offers a powerful toolset for engineers facing today\u2019s electrification and system simulation challenges. With performance improvements of up to 75% in some cases, of 35% on average and with no regression on the results, this version empowers users to achieve more in less time.<\/p>\n\n\n\n<p>More features released in Simcenter Amesim 2410 are described in\u00a0<a href=\"https:\/\/blogs.sw.siemens.com\/simcenter\/whats-new-in-simcenter-systems-simulation-2410\/\" target=\"_blank\" rel=\"noreferrer noopener\">this blogpost<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Simcenter Amesim 2410 marks a significant leap forward in simulation efficiency and computational performance, with improvements tailored to address the&#8230;<\/p>\n","protected":false},"author":40174,"featured_media":62102,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spanish_translation":"","french_translation":"","german_translation":"","italian_translation":"","polish_translation":"","japanese_translation":"","chinese_translation":"","footnotes":""},"categories":[179,1],"tags":[2,8847,16,21],"industry":[125,89,63664,150,155],"product":[590],"coauthors":[704,45824],"class_list":["post-61532","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product-updates","category-news","tag-product-launches","tag-simcenter-amesim","tag-system-simulation","tag-technology-innovation","industry-aerospace-defense","industry-automotive-transportation","industry-battery","industry-energy-utilities","industry-industrial-machinery-heavy-equipment","product-simcenter-amesim"],"featured_image_url":"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2024\/11\/Feature-image.jpg","_links":{"self":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/61532","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/users\/40174"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/comments?post=61532"}],"version-history":[{"count":4,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/61532\/revisions"}],"predecessor-version":[{"id":62262,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/61532\/revisions\/62262"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media\/62102"}],"wp:attachment":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media?parent=61532"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/categories?post=61532"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/tags?post=61532"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/industry?post=61532"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/product?post=61532"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/coauthors?post=61532"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}