{"id":4767,"date":"2025-06-21T07:03:01","date_gmt":"2025-06-21T07:03:01","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/06\/21\/understanding-application-performance-with-roofline-modeling\/"},"modified":"2025-06-21T07:03:01","modified_gmt":"2025-06-21T07:03:01","slug":"understanding-application-performance-with-roofline-modeling","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/06\/21\/understanding-application-performance-with-roofline-modeling\/","title":{"rendered":"Understanding Application Performance with Roofline Modeling"},"content":{"rendered":"<p>    Understanding Application Performance with Roofline Modeling<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>A common challenge with calculating an application\u2019s performance is that the real-world performance and theoretical performance can differ. With an ecosystem of products that is growing with high performance needs such as High Performance Computing (HPC), gaming, or in the current landscape \u2013 Large Language Models (LLMs), it is essential to calculate accurately the performance [\u2026]<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/understanding-application-performance-with-roofline-modeling\/\">Understanding Application Performance with Roofline Modeling<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Rachit Jain<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/understanding-application-performance-with-roofline-modeling\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Understanding Application Performance with Roofline Modeling A common challenge with calculating an application\u2019s performance is that the real-world performance and theoretical performance can differ. With an ecosystem of products that is growing with high performance needs such as High Performance Computing (HPC), gaming, or in the current landscape \u2013 Large Language Models (LLMs), it is [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,83,82,87,3023,3024],"tags":[3025,1194,697],"class_list":["post-4767","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-data-science","category-data-visualization","category-llm","category-llm-performance","category-roofline-modeling","tag-application","tag-performance","tag-understanding"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/4767"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=4767"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/4767\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=4767"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=4767"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=4767"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}