HALO TRANSFER FOR CONVOLUTION WORKLOAD PARTITION

A DNN accelerator includes multiple compute tiles for sharing a workload of running a convolution. A halo pipeline in a compute tile can facilitate replications of halo data from the compute tile where the halo data is generated into another compute tile. The halo pipeline may receive a memory trans...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: GRYMEL, Martin-Thomas, BERNARD, David Thomas, HANRAHAN, Niall
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 GRYMEL, Martin-Thomas
BERNARD, David Thomas
HANRAHAN, Niall
description A DNN accelerator includes multiple compute tiles for sharing a workload of running a convolution. A halo pipeline in a compute tile can facilitate replications of halo data from the compute tile where the halo data is generated into another compute tile. The halo pipeline may receive a memory transaction for writing a data block. The halo pipeline may determine that the data block falls into a halo region in an input tensor of the convolution. The halo pipeline may generate a remote address for storing the data block in a memory of the other compute tile, e.g., based on a local address of the data block in a memory of the compute tile. The halo pipeline may adjust the remote address, e.g., based on a difference in dimensions of a tensor to be used by the compute tile and a tensor to be used by the other compute tile.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_EP4354349A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>EP4354349A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_EP4354349A13</originalsourceid><addsrcrecordid>eNrjZDDwcPTxVwgJcvQLdnMNUnDzD1Jw9vcL8_cJDfH091MI9w_y9vF3dFEIcAwK8QQJ8TCwpiXmFKfyQmluBgU31xBnD93Ugvz41OKCxOTUvNSSeNcAE2NTE2MTS0dDYyKUAAAKRyZM</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>HALO TRANSFER FOR CONVOLUTION WORKLOAD PARTITION</title><source>esp@cenet</source><creator>GRYMEL, Martin-Thomas ; BERNARD, David Thomas ; HANRAHAN, Niall</creator><creatorcontrib>GRYMEL, Martin-Thomas ; BERNARD, David Thomas ; HANRAHAN, Niall</creatorcontrib><description>A DNN accelerator includes multiple compute tiles for sharing a workload of running a convolution. A halo pipeline in a compute tile can facilitate replications of halo data from the compute tile where the halo data is generated into another compute tile. The halo pipeline may receive a memory transaction for writing a data block. The halo pipeline may determine that the data block falls into a halo region in an input tensor of the convolution. The halo pipeline may generate a remote address for storing the data block in a memory of the other compute tile, e.g., based on a local address of the data block in a memory of the compute tile. The halo pipeline may adjust the remote address, e.g., based on a difference in dimensions of a tensor to be used by the compute tile and a tensor to be used by the other compute tile.</description><language>eng ; fre ; ger</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; PHYSICS</subject><creationdate>2024</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=20240417&amp;DB=EPODOC&amp;CC=EP&amp;NR=4354349A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25562,76317</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240417&amp;DB=EPODOC&amp;CC=EP&amp;NR=4354349A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>GRYMEL, Martin-Thomas</creatorcontrib><creatorcontrib>BERNARD, David Thomas</creatorcontrib><creatorcontrib>HANRAHAN, Niall</creatorcontrib><title>HALO TRANSFER FOR CONVOLUTION WORKLOAD PARTITION</title><description>A DNN accelerator includes multiple compute tiles for sharing a workload of running a convolution. A halo pipeline in a compute tile can facilitate replications of halo data from the compute tile where the halo data is generated into another compute tile. The halo pipeline may receive a memory transaction for writing a data block. The halo pipeline may determine that the data block falls into a halo region in an input tensor of the convolution. The halo pipeline may generate a remote address for storing the data block in a memory of the other compute tile, e.g., based on a local address of the data block in a memory of the compute tile. The halo pipeline may adjust the remote address, e.g., based on a difference in dimensions of a tensor to be used by the compute tile and a tensor to be used by the other compute tile.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDDwcPTxVwgJcvQLdnMNUnDzD1Jw9vcL8_cJDfH091MI9w_y9vF3dFEIcAwK8QQJ8TCwpiXmFKfyQmluBgU31xBnD93Ugvz41OKCxOTUvNSSeNcAE2NTE2MTS0dDYyKUAAAKRyZM</recordid><startdate>20240417</startdate><enddate>20240417</enddate><creator>GRYMEL, Martin-Thomas</creator><creator>BERNARD, David Thomas</creator><creator>HANRAHAN, Niall</creator><scope>EVB</scope></search><sort><creationdate>20240417</creationdate><title>HALO TRANSFER FOR CONVOLUTION WORKLOAD PARTITION</title><author>GRYMEL, Martin-Thomas ; BERNARD, David Thomas ; HANRAHAN, Niall</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP4354349A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>GRYMEL, Martin-Thomas</creatorcontrib><creatorcontrib>BERNARD, David Thomas</creatorcontrib><creatorcontrib>HANRAHAN, Niall</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>GRYMEL, Martin-Thomas</au><au>BERNARD, David Thomas</au><au>HANRAHAN, Niall</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>HALO TRANSFER FOR CONVOLUTION WORKLOAD PARTITION</title><date>2024-04-17</date><risdate>2024</risdate><abstract>A DNN accelerator includes multiple compute tiles for sharing a workload of running a convolution. A halo pipeline in a compute tile can facilitate replications of halo data from the compute tile where the halo data is generated into another compute tile. The halo pipeline may receive a memory transaction for writing a data block. The halo pipeline may determine that the data block falls into a halo region in an input tensor of the convolution. The halo pipeline may generate a remote address for storing the data block in a memory of the other compute tile, e.g., based on a local address of the data block in a memory of the compute tile. The halo pipeline may adjust the remote address, e.g., based on a difference in dimensions of a tensor to be used by the compute tile and a tensor to be used by the other compute tile.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng ; fre ; ger
recordid cdi_epo_espacenet_EP4354349A1
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
title HALO TRANSFER FOR CONVOLUTION WORKLOAD PARTITION
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T15%3A57%3A42IST&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=GRYMEL,%20Martin-Thomas&rft.date=2024-04-17&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EEP4354349A1%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