ATTACHED ACCELERATOR BASED INFERENCE SERVICE

Implementations detailed herein include description of a computer-implemented method. In an implementation, the method at least includes receiving an application instance configuration, an application of the application instance to utilize a portion of an attached accelerator during execution of a m...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: SIVASUBRAMANIAN, Swaminathan, DIRAC, Leo Parker, SENGUPTA, Sudipta, WOOD, Matthew James, PERUMALLA, Poorna Chand Srinivas, DIVAKARUNI, Dominic Rajeev, OLGIATI, Andrea, SAHA, Bratin, BSHARA, Nafea
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator SIVASUBRAMANIAN, Swaminathan
DIRAC, Leo Parker
SENGUPTA, Sudipta
WOOD, Matthew James
PERUMALLA, Poorna Chand Srinivas
DIVAKARUNI, Dominic Rajeev
OLGIATI, Andrea
SAHA, Bratin
BSHARA, Nafea
description Implementations detailed herein include description of a computer-implemented method. In an implementation, the method at least includes receiving an application instance configuration, an application of the application instance to utilize a portion of an attached accelerator during execution of a machine learning model and the application instance configuration including: an indication of the central processing unit (CPU) capability to be used, an arithmetic precision of the machine learning model to be used, an indication of the accelerator capability to be used, a storage location of the application, and an indication of an amount of random access memory to use.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_EP3814899A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EP3814899A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_EP3814899A13</originalsourceid><addsrcrecordid>eNrjZNBxDAlxdPZwdVFwdHZ29XENcgzxD1JwcgwGinj6ubkGufo5uyoEuwaFeTq78jCwpiXmFKfyQmluBgU31xBnD93Ugvz41OKCxOTUvNSSeNcAYwtDEwtLS0dDYyKUAAA8DCSx</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>ATTACHED ACCELERATOR BASED INFERENCE SERVICE</title><source>esp@cenet</source><creator>SIVASUBRAMANIAN, Swaminathan ; DIRAC, Leo Parker ; SENGUPTA, Sudipta ; WOOD, Matthew James ; PERUMALLA, Poorna Chand Srinivas ; DIVAKARUNI, Dominic Rajeev ; OLGIATI, Andrea ; SAHA, Bratin ; BSHARA, Nafea</creator><creatorcontrib>SIVASUBRAMANIAN, Swaminathan ; DIRAC, Leo Parker ; SENGUPTA, Sudipta ; WOOD, Matthew James ; PERUMALLA, Poorna Chand Srinivas ; DIVAKARUNI, Dominic Rajeev ; OLGIATI, Andrea ; SAHA, Bratin ; BSHARA, Nafea</creatorcontrib><description>Implementations detailed herein include description of a computer-implemented method. In an implementation, the method at least includes receiving an application instance configuration, an application of the application instance to utilize a portion of an attached accelerator during execution of a machine learning model and the application instance configuration including: an indication of the central processing unit (CPU) capability to be used, an arithmetic precision of the machine learning model to be used, an indication of the accelerator capability to be used, a storage location of the application, and an indication of an amount of random access memory to use.</description><language>eng ; fre ; ger</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2021</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&amp;date=20210505&amp;DB=EPODOC&amp;CC=EP&amp;NR=3814899A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20210505&amp;DB=EPODOC&amp;CC=EP&amp;NR=3814899A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SIVASUBRAMANIAN, Swaminathan</creatorcontrib><creatorcontrib>DIRAC, Leo Parker</creatorcontrib><creatorcontrib>SENGUPTA, Sudipta</creatorcontrib><creatorcontrib>WOOD, Matthew James</creatorcontrib><creatorcontrib>PERUMALLA, Poorna Chand Srinivas</creatorcontrib><creatorcontrib>DIVAKARUNI, Dominic Rajeev</creatorcontrib><creatorcontrib>OLGIATI, Andrea</creatorcontrib><creatorcontrib>SAHA, Bratin</creatorcontrib><creatorcontrib>BSHARA, Nafea</creatorcontrib><title>ATTACHED ACCELERATOR BASED INFERENCE SERVICE</title><description>Implementations detailed herein include description of a computer-implemented method. In an implementation, the method at least includes receiving an application instance configuration, an application of the application instance to utilize a portion of an attached accelerator during execution of a machine learning model and the application instance configuration including: an indication of the central processing unit (CPU) capability to be used, an arithmetic precision of the machine learning model to be used, an indication of the accelerator capability to be used, a storage location of the application, and an indication of an amount of random access memory to use.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZNBxDAlxdPZwdVFwdHZ29XENcgzxD1JwcgwGinj6ubkGufo5uyoEuwaFeTq78jCwpiXmFKfyQmluBgU31xBnD93Ugvz41OKCxOTUvNSSeNcAYwtDEwtLS0dDYyKUAAA8DCSx</recordid><startdate>20210505</startdate><enddate>20210505</enddate><creator>SIVASUBRAMANIAN, Swaminathan</creator><creator>DIRAC, Leo Parker</creator><creator>SENGUPTA, Sudipta</creator><creator>WOOD, Matthew James</creator><creator>PERUMALLA, Poorna Chand Srinivas</creator><creator>DIVAKARUNI, Dominic Rajeev</creator><creator>OLGIATI, Andrea</creator><creator>SAHA, Bratin</creator><creator>BSHARA, Nafea</creator><scope>EVB</scope></search><sort><creationdate>20210505</creationdate><title>ATTACHED ACCELERATOR BASED INFERENCE SERVICE</title><author>SIVASUBRAMANIAN, Swaminathan ; DIRAC, Leo Parker ; SENGUPTA, Sudipta ; WOOD, Matthew James ; PERUMALLA, Poorna Chand Srinivas ; DIVAKARUNI, Dominic Rajeev ; OLGIATI, Andrea ; SAHA, Bratin ; BSHARA, Nafea</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP3814899A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>SIVASUBRAMANIAN, Swaminathan</creatorcontrib><creatorcontrib>DIRAC, Leo Parker</creatorcontrib><creatorcontrib>SENGUPTA, Sudipta</creatorcontrib><creatorcontrib>WOOD, Matthew James</creatorcontrib><creatorcontrib>PERUMALLA, Poorna Chand Srinivas</creatorcontrib><creatorcontrib>DIVAKARUNI, Dominic Rajeev</creatorcontrib><creatorcontrib>OLGIATI, Andrea</creatorcontrib><creatorcontrib>SAHA, Bratin</creatorcontrib><creatorcontrib>BSHARA, Nafea</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SIVASUBRAMANIAN, Swaminathan</au><au>DIRAC, Leo Parker</au><au>SENGUPTA, Sudipta</au><au>WOOD, Matthew James</au><au>PERUMALLA, Poorna Chand Srinivas</au><au>DIVAKARUNI, Dominic Rajeev</au><au>OLGIATI, Andrea</au><au>SAHA, Bratin</au><au>BSHARA, Nafea</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>ATTACHED ACCELERATOR BASED INFERENCE SERVICE</title><date>2021-05-05</date><risdate>2021</risdate><abstract>Implementations detailed herein include description of a computer-implemented method. In an implementation, the method at least includes receiving an application instance configuration, an application of the application instance to utilize a portion of an attached accelerator during execution of a machine learning model and the application instance configuration including: an indication of the central processing unit (CPU) capability to be used, an arithmetic precision of the machine learning model to be used, an indication of the accelerator capability to be used, a storage location of the application, and an indication of an amount of random access memory to use.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng ; fre ; ger
recordid cdi_epo_espacenet_EP3814899A1
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title ATTACHED ACCELERATOR BASED INFERENCE SERVICE
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T10%3A03%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=SIVASUBRAMANIAN,%20Swaminathan&rft.date=2021-05-05&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EEP3814899A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true