{"id":185427,"date":"2024-03-19T10:31:33","date_gmt":"2024-03-19T15:31:33","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2024\/03\/method-identified-to-double-computer-processing-speeds"},"modified":"2024-03-19T10:31:33","modified_gmt":"2024-03-19T15:31:33","slug":"method-identified-to-double-computer-processing-speeds","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2024\/03\/method-identified-to-double-computer-processing-speeds","title":{"rendered":"Method identified to double computer processing speeds"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/method-identified-to-double-computer-processing-speeds.jpg\"><\/a><\/p>\n<p>Hung-Wei Tseng, a UC Riverside associate professor of electrical and computer engineering, has laid out a paradigm shift in computer architecture to do just that in a recent paper titled, \u201cSimultaneous and Heterogeneous Multithreading.\u201d<\/p>\n<p>Tseng explained that today\u2019s computer devices increasingly have graphics processing units (GPUs), hardware accelerators for artificial intelligence (AI) and machine learning (ML), or digital signal processing units as essential components. These components process information separately, moving information from one processing unit to the next, which in effect creates a bottleneck.<\/p>\n<p>In their paper, Tseng and UCR computer science graduate student Kuan-Chieh Hsu introduce what they call \u201csimultaneous and heterogeneous multithreading\u201d or SHMT. They describe their development of a proposed SHMT framework on an embedded system platform that simultaneously uses a multi-core ARM processor, an NVIDIA GPU, and a Tensor Processing Unit hardware accelerator.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Hung-Wei Tseng, a UC Riverside associate professor of electrical and computer engineering, has laid out a paradigm shift in computer architecture to do just that in a recent paper titled, \u201cSimultaneous and Heterogeneous Multithreading.\u201d Tseng explained that today\u2019s computer devices increasingly have graphics processing units (GPUs), hardware accelerators for artificial intelligence (AI) and machine learning [\u2026]<\/p>\n","protected":false},"author":367,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-185427","post","type-post","status-publish","format-standard","hentry","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/185427","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/367"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=185427"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/185427\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=185427"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=185427"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=185427"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}