{"id":117654,"date":"2020-07-08T11:34:58","date_gmt":"2020-07-08T02:34:58","guid":{"rendered":"http:\/\/175.125.95.178\/press\/17654\/"},"modified":"2026-04-18T04:30:36","modified_gmt":"2026-04-17T19:30:36","slug":"17654","status":"publish","type":"press-post","link":"http:\/\/ee.presscat.kr\/en\/presses\/17654\/","title":{"rendered":"Professor Min-Soo Rhu&#039;s research team developed the world&#039;s first hybrid artificial intelligence (AI) accelerator based on the multi-chip module (MCM) technology to speed up the recommendation system"},"content":{"rendered":"<p>Professor Min-Soo Rhu&#8217;s research team at our faculty has developed the world&#8217;s first mix-type artificial intelligence (AI) accelerator based on the &#8216;Multi-chip module&#8217; (MCM) technology to speed up the recommendation system.<br \/>\nAn article on the research results was reported in a Korea IT newspaper on July 6th.<br \/>\nThis study corresponds to a technology that significantly enhances the performance of AI-based recommendation systems while minimizing the structural changes of existing server systems. This increased the performance by up to 17 times compared to the existing recommendation system.<br \/>\nThe research team carried out this study with the support of Samsung Electronics Future Technology Promotion Center and also received help from Intel Labs on MCM-based chips.<\/p>\n<p>Related research papers were presented at ACM\/IEEE (ISCA) last month, which is one of the best international academic conferences in the field of the computer system architecture.<\/p>\n<p>Professor Min-Soo Rhu expressed his ambition to promote active educational-industrial cooperation to help domestic memory semiconductor companies lead the AI \u200b\u200baccelerator market.<\/p>\n<p>You can check the detailed research achievements of Professor Min-Soo Rhu&#8217;s research team in the press release link below and the blog post contributed by the professor.<\/p>\n<p>[Link]<\/p>\n<p><a href=\"https:\/\/www.etnews.com\/20200706000286\" rel=\"nofollow noopener\">https:\/\/www.etnews.com\/20200706000286<\/a> (Korea IT newspaper)<br \/>\n<a href=\"https:\/\/www.sigarch.org\/building-performance-scalable-and-composable-machine-learning-accelerators\/\" rel=\"nofollow noopener\">https:\/\/www.sigarch.org\/building-performance-scalable-and-composable-machine-learning-accelerators\/<\/a><br \/>\n(Article by Professor Min-Soo Rhu, ACM SIGARCH Blog)<\/p>\n","protected":false},"excerpt":{"rendered":"<p>740<\/p>\n","protected":false},"featured_media":125061,"template":"","class_list":["post-117654","press-post","type-press-post","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/press-post\/117654","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/press-post"}],"about":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/types\/press-post"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/media\/125061"}],"wp:attachment":[{"href":"http:\/\/ee.presscat.kr\/en\/wp-json\/wp\/v2\/media?parent=117654"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}