Compute optimization mechanism for deep neural networks
Embodiments provide mechanisms to facilitate compute operations for deep neural networks. One embodiment comprises a graphics processing unit comprising one or more multiprocessors, at least one of the one or more multiprocessors including a register file to store a plurality of different types of o...
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creator | Satish, Nadathur Rajagopalan Ashbaugh, Ben J Galoppo Von Borries, Nicolas C Akhbari, Farshad Ray, Joydeep Srinivasa, Narayan Maiyuran, Subramaniam Schluessler, Travis T Feit, John H Gottschlich, Justin E Boles, Jeffery S Vaidyanathan, Karthik Surti, Prasoonkumar Nurvitadhi, Eriko Burke, Devan Hurd, Linda L Appu, Abhishek R Chen, Feng Baghsorkhi, Sara S Lake, Adam T Lin, Tsung-Han Fu, Wenyin Koker, Altug Kim, Dukhwan Sinha, Kamal Vembu, Balaji Barik, Rajkishore Mastronarde, Josh B |
description | Embodiments provide mechanisms to facilitate compute operations for deep neural networks. One embodiment comprises a graphics processing unit comprising one or more multiprocessors, at least one of the one or more multiprocessors including a register file to store a plurality of different types of operands and a plurality of processing cores. The plurality of processing cores includes a first set of processing cores of a first type and a second set of processing cores of a second type. The first set of processing cores are associated with a first memory channel and the second set of processing cores are associated with a second memory channel. |
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One embodiment comprises a graphics processing unit comprising one or more multiprocessors, at least one of the one or more multiprocessors including a register file to store a plurality of different types of operands and a plurality of processing cores. The plurality of processing cores includes a first set of processing cores of a first type and a second set of processing cores of a second type. The first set of processing cores are associated with a first memory channel and the second set of processing cores are associated with a second memory channel.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230228&DB=EPODOC&CC=US&NR=11593910B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230228&DB=EPODOC&CC=US&NR=11593910B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Satish, Nadathur Rajagopalan</creatorcontrib><creatorcontrib>Ashbaugh, Ben J</creatorcontrib><creatorcontrib>Galoppo Von Borries, Nicolas C</creatorcontrib><creatorcontrib>Akhbari, Farshad</creatorcontrib><creatorcontrib>Ray, Joydeep</creatorcontrib><creatorcontrib>Srinivasa, Narayan</creatorcontrib><creatorcontrib>Maiyuran, Subramaniam</creatorcontrib><creatorcontrib>Schluessler, Travis T</creatorcontrib><creatorcontrib>Feit, John H</creatorcontrib><creatorcontrib>Gottschlich, Justin E</creatorcontrib><creatorcontrib>Boles, Jeffery S</creatorcontrib><creatorcontrib>Vaidyanathan, Karthik</creatorcontrib><creatorcontrib>Surti, Prasoonkumar</creatorcontrib><creatorcontrib>Nurvitadhi, Eriko</creatorcontrib><creatorcontrib>Burke, Devan</creatorcontrib><creatorcontrib>Hurd, Linda L</creatorcontrib><creatorcontrib>Appu, Abhishek R</creatorcontrib><creatorcontrib>Chen, Feng</creatorcontrib><creatorcontrib>Baghsorkhi, Sara S</creatorcontrib><creatorcontrib>Lake, Adam T</creatorcontrib><creatorcontrib>Lin, Tsung-Han</creatorcontrib><creatorcontrib>Fu, Wenyin</creatorcontrib><creatorcontrib>Koker, Altug</creatorcontrib><creatorcontrib>Kim, Dukhwan</creatorcontrib><creatorcontrib>Sinha, Kamal</creatorcontrib><creatorcontrib>Vembu, Balaji</creatorcontrib><creatorcontrib>Barik, Rajkishore</creatorcontrib><creatorcontrib>Mastronarde, Josh B</creatorcontrib><title>Compute optimization mechanism for deep neural networks</title><description>Embodiments provide mechanisms to facilitate compute operations for deep neural networks. One embodiment comprises a graphics processing unit comprising one or more multiprocessors, at least one of the one or more multiprocessors including a register file to store a plurality of different types of operands and a plurality of processing cores. The plurality of processing cores includes a first set of processing cores of a first type and a second set of processing cores of a second type. The first set of processing cores are associated with a first memory channel and the second set of processing cores are associated with a second memory channel.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDB3zs8tKC1JVcgvKMnMzaxKLMnMz1PITU3OSMzLLM5VSMsvUkhJTS1QyEstLUrMAVIl5flF2cU8DKxpiTnFqbxQmptB0c01xNlDN7UgPz61uCAxORWoND402NDQ1NLY0tDAyciYGDUAHsourg</recordid><startdate>20230228</startdate><enddate>20230228</enddate><creator>Satish, Nadathur Rajagopalan</creator><creator>Ashbaugh, Ben J</creator><creator>Galoppo Von Borries, Nicolas C</creator><creator>Akhbari, Farshad</creator><creator>Ray, Joydeep</creator><creator>Srinivasa, Narayan</creator><creator>Maiyuran, Subramaniam</creator><creator>Schluessler, Travis T</creator><creator>Feit, John H</creator><creator>Gottschlich, Justin E</creator><creator>Boles, Jeffery S</creator><creator>Vaidyanathan, Karthik</creator><creator>Surti, Prasoonkumar</creator><creator>Nurvitadhi, Eriko</creator><creator>Burke, Devan</creator><creator>Hurd, Linda L</creator><creator>Appu, Abhishek R</creator><creator>Chen, Feng</creator><creator>Baghsorkhi, Sara S</creator><creator>Lake, Adam T</creator><creator>Lin, Tsung-Han</creator><creator>Fu, Wenyin</creator><creator>Koker, Altug</creator><creator>Kim, Dukhwan</creator><creator>Sinha, Kamal</creator><creator>Vembu, Balaji</creator><creator>Barik, Rajkishore</creator><creator>Mastronarde, Josh B</creator><scope>EVB</scope></search><sort><creationdate>20230228</creationdate><title>Compute optimization mechanism for deep neural networks</title><author>Satish, Nadathur Rajagopalan ; Ashbaugh, Ben J ; Galoppo Von Borries, Nicolas C ; Akhbari, Farshad ; Ray, Joydeep ; Srinivasa, Narayan ; Maiyuran, Subramaniam ; Schluessler, Travis T ; Feit, John H ; Gottschlich, Justin E ; Boles, Jeffery S ; Vaidyanathan, Karthik ; Surti, Prasoonkumar ; Nurvitadhi, Eriko ; Burke, Devan ; Hurd, Linda L ; Appu, Abhishek R ; Chen, Feng ; Baghsorkhi, Sara S ; Lake, Adam T ; Lin, Tsung-Han ; Fu, Wenyin ; Koker, Altug ; Kim, Dukhwan ; Sinha, Kamal ; Vembu, Balaji ; Barik, Rajkishore ; Mastronarde, Josh B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US11593910B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Satish, Nadathur Rajagopalan</creatorcontrib><creatorcontrib>Ashbaugh, Ben J</creatorcontrib><creatorcontrib>Galoppo Von Borries, Nicolas C</creatorcontrib><creatorcontrib>Akhbari, Farshad</creatorcontrib><creatorcontrib>Ray, Joydeep</creatorcontrib><creatorcontrib>Srinivasa, Narayan</creatorcontrib><creatorcontrib>Maiyuran, Subramaniam</creatorcontrib><creatorcontrib>Schluessler, Travis T</creatorcontrib><creatorcontrib>Feit, John H</creatorcontrib><creatorcontrib>Gottschlich, Justin E</creatorcontrib><creatorcontrib>Boles, Jeffery S</creatorcontrib><creatorcontrib>Vaidyanathan, Karthik</creatorcontrib><creatorcontrib>Surti, Prasoonkumar</creatorcontrib><creatorcontrib>Nurvitadhi, Eriko</creatorcontrib><creatorcontrib>Burke, Devan</creatorcontrib><creatorcontrib>Hurd, Linda L</creatorcontrib><creatorcontrib>Appu, Abhishek R</creatorcontrib><creatorcontrib>Chen, Feng</creatorcontrib><creatorcontrib>Baghsorkhi, Sara S</creatorcontrib><creatorcontrib>Lake, Adam T</creatorcontrib><creatorcontrib>Lin, Tsung-Han</creatorcontrib><creatorcontrib>Fu, Wenyin</creatorcontrib><creatorcontrib>Koker, Altug</creatorcontrib><creatorcontrib>Kim, Dukhwan</creatorcontrib><creatorcontrib>Sinha, Kamal</creatorcontrib><creatorcontrib>Vembu, Balaji</creatorcontrib><creatorcontrib>Barik, Rajkishore</creatorcontrib><creatorcontrib>Mastronarde, Josh B</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Satish, Nadathur Rajagopalan</au><au>Ashbaugh, Ben J</au><au>Galoppo Von Borries, Nicolas C</au><au>Akhbari, Farshad</au><au>Ray, Joydeep</au><au>Srinivasa, Narayan</au><au>Maiyuran, Subramaniam</au><au>Schluessler, Travis T</au><au>Feit, John H</au><au>Gottschlich, Justin E</au><au>Boles, Jeffery S</au><au>Vaidyanathan, Karthik</au><au>Surti, Prasoonkumar</au><au>Nurvitadhi, Eriko</au><au>Burke, Devan</au><au>Hurd, Linda L</au><au>Appu, Abhishek R</au><au>Chen, Feng</au><au>Baghsorkhi, Sara S</au><au>Lake, Adam T</au><au>Lin, Tsung-Han</au><au>Fu, Wenyin</au><au>Koker, Altug</au><au>Kim, Dukhwan</au><au>Sinha, Kamal</au><au>Vembu, Balaji</au><au>Barik, Rajkishore</au><au>Mastronarde, Josh B</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Compute optimization mechanism for deep neural networks</title><date>2023-02-28</date><risdate>2023</risdate><abstract>Embodiments provide mechanisms to facilitate compute operations for deep neural networks. One embodiment comprises a graphics processing unit comprising one or more multiprocessors, at least one of the one or more multiprocessors including a register file to store a plurality of different types of operands and a plurality of processing cores. The plurality of processing cores includes a first set of processing cores of a first type and a second set of processing cores of a second type. The first set of processing cores are associated with a first memory channel and the second set of processing cores are associated with a second memory channel.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
title | Compute optimization mechanism for deep neural networks |
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