{"id":54294,"date":"2013-06-26T16:33:32","date_gmt":"2013-06-26T13:33:32","guid":{"rendered":"https:\/\/www.altoros.com\/blog\/?p=54294"},"modified":"2020-05-04T14:33:24","modified_gmt":"2020-05-04T11:33:24","slug":"hadoop-gpu-boost-performance-of-your-big-data-project-by-50x-200x","status":"publish","type":"post","link":"https:\/\/www.altoros.com\/blog\/hadoop-gpu-boost-performance-of-your-big-data-project-by-50x-200x\/","title":{"rendered":"Hadoop + GPU: Boost Performance of Your Big Data Project by 50x\u2013200x?"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-transparent ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.altoros.com\/blog\/hadoop-gpu-boost-performance-of-your-big-data-project-by-50x-200x\/#Accelerate_your_project\" >Accelerate your project<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.altoros.com\/blog\/hadoop-gpu-boost-performance-of-your-big-data-project-by-50x-200x\/#Further_reading\" >Further reading<\/a><\/li><\/ul><\/nav><\/div>\n<h3><span class=\"ez-toc-section\" id=\"Accelerate_your_project\"><\/span>Accelerate your project<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2013\/06\/Data-exchange-between-components-of-a-commodity-computer-when-executing-a-task.jpg\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2013\/06\/Data-exchange-between-components-of-a-commodity-computer-when-executing-a-task.jpg\" alt=\"\" width=\"200\" class=\"alignright size-full wp-image-54303\" \/><\/a><\/p>\n<p>Hadoop, an open-source framework that enables distributed computing, has changed the way we deal with big data. Parallel processing with this set of tools can improve performance several times over. The question is, can we make it work even faster? What about offloading calculations from a CPU to a graphics processing unit (GPU) designed to perform complex 3D and mathematical tasks? In theory, if the process is optimized for parallel computing, a GPU could perform calculations 50\u2013100 times faster than a CPU.<\/p>\n<p>Read <a href=\"https:\/\/www.networkworld.com\/article\/2167576\/hadoop---gpu--boost-performance-of-your-big-data-project-by-50x-200x-.html\" rel=\"noopener noreferrer\" target=\"_blank\">this article<\/a> at NetworkWorld to find out what is possible, and how you can try this for your large-scale system.<\/p>\n<p>Check out <a href=\"https:\/\/www.altoros.com\/research-papers\/hadoop-gpu-boost-performance-of-your-big-data-project-by-50x-200x-2\/\">this white paper<\/a> to explore the idea in detail.<\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Further_reading\"><\/span>Further reading<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li><a href=\"https:\/\/www.altoros.com\/research-papers\/hadoop-gpu-boost-performance-of-your-big-data-project-by-50x-200x-2\/\">Hadoop + GPU: Boost Performance of Your Big Data Project by 50x-200x?<\/a><\/li>\n<li><a href=\"https:\/\/www.altoros.com\/research-papers\/hadoop-distributions-cloudera-vs-hortonworks-vs-mapr\/\">Hadoop Distributions: Cloudera vs. Hortonworks vs. MapR<\/a><\/li>\n<li><a href=\"https:\/\/www.altoros.com\/blog\/processing-5-tb-of-data-daily-with-hadoop-and-cassandra\/\">Processing 5 TB of Data Daily with Hadoop and Cassandra<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Accelerate your project<\/p>\n<p>Hadoop, an open-source framework that enables distributed computing, has changed the way we deal with big data. Parallel processing with this set of tools can improve performance several times over. The question is, can we make it work even faster? What about offloading calculations from a CPU to [&#8230;]<\/p>\n","protected":false},"author":100,"featured_media":54305,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[7],"tags":[895],"class_list":["post-54294","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-and-opinion","tag-research-and-development"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Hadoop + GPU: Boost Performance of Your Big Data Project by 50x\u2013200x? | Altoros<\/title>\n<meta name=\"description\" content=\"Learn about possible bottlenecks when offloading Hadoop calculations from a CPU to a GPU and what libraries\/frameworks to use.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.altoros.com\/blog\/hadoop-gpu-boost-performance-of-your-big-data-project-by-50x-200x\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Hadoop + GPU: Boost Performance of Your Big Data Project by 50x\u2013200x? | Altoros\" \/>\n<meta property=\"og:description\" content=\"Accelerate your project Hadoop, an open-source framework that enables distributed computing, has changed the way we deal with big data. Parallel processing with this set of tools can improve performance several times over. The question is, can we make it work even faster? 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