WRITE COMBINE BUFFER (WCB) FOR DEEP NEURAL NETWORK (DNN) ACCELERATOR
A compute tile includes a WCB that receives a workload of writing an output tensor of a convolution into a local memory of the compute tile. The local memory may be a SRAM. The WCB receives write transactions. A write transaction includes a data block, which is a part of the output tensor, and metad...
Gespeichert in:
Hauptverfasser: | , , , , |
---|---|
Format: | Patent |
Sprache: | eng |
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 | Power, Martin Grymel, Martin-Thomas Hanrahan, Niall Bernard, David Thomas Brady, Kevin |
description | A compute tile includes a WCB that receives a workload of writing an output tensor of a convolution into a local memory of the compute tile. The local memory may be a SRAM. The WCB receives write transactions. A write transaction includes a data block, which is a part of the output tensor, and metadata describing one or more attributes of the data block. The WCB may store write transactions in its internal buffers. The WCB may determine whether to combine two write transactions, e.g., based on an operation mode or metadata in the write transactions. In embodiments where the WCB determines to combine the two write transactions, the WCB may combine the two write transactions into a new write transaction and write the new write transaction into the local memory or an internal memory of the WCB. The total number of write transactions for the workload can be reduced. |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2023020929A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2023020929A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2023020929A13</originalsourceid><addsrcrecordid>eNrjZHAJD_IMcVVw9vd18vRzVXAKdXNzDVLQCHd20lRw8w9ScHF1DVDwcw0NcvQBUiHh_kHeChoufn6aCo7Ozq4-rkGOIf5BPAysaYk5xam8UJqbQdnNNcTZQze1ID8-tbggMTk1L7UkPjTYyMDI2MDIwNLI0tHQmDhVAKoiK_Q</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>WRITE COMBINE BUFFER (WCB) FOR DEEP NEURAL NETWORK (DNN) ACCELERATOR</title><source>esp@cenet</source><creator>Power, Martin ; Grymel, Martin-Thomas ; Hanrahan, Niall ; Bernard, David Thomas ; Brady, Kevin</creator><creatorcontrib>Power, Martin ; Grymel, Martin-Thomas ; Hanrahan, Niall ; Bernard, David Thomas ; Brady, Kevin</creatorcontrib><description>A compute tile includes a WCB that receives a workload of writing an output tensor of a convolution into a local memory of the compute tile. The local memory may be a SRAM. The WCB receives write transactions. A write transaction includes a data block, which is a part of the output tensor, and metadata describing one or more attributes of the data block. The WCB may store write transactions in its internal buffers. The WCB may determine whether to combine two write transactions, e.g., based on an operation mode or metadata in the write transactions. In embodiments where the WCB determines to combine the two write transactions, the WCB may combine the two write transactions into a new write transaction and write the new write transaction into the local memory or an internal memory of the WCB. The total number of write transactions for the workload can be reduced.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; 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=20230119&DB=EPODOC&CC=US&NR=2023020929A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230119&DB=EPODOC&CC=US&NR=2023020929A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Power, Martin</creatorcontrib><creatorcontrib>Grymel, Martin-Thomas</creatorcontrib><creatorcontrib>Hanrahan, Niall</creatorcontrib><creatorcontrib>Bernard, David Thomas</creatorcontrib><creatorcontrib>Brady, Kevin</creatorcontrib><title>WRITE COMBINE BUFFER (WCB) FOR DEEP NEURAL NETWORK (DNN) ACCELERATOR</title><description>A compute tile includes a WCB that receives a workload of writing an output tensor of a convolution into a local memory of the compute tile. The local memory may be a SRAM. The WCB receives write transactions. A write transaction includes a data block, which is a part of the output tensor, and metadata describing one or more attributes of the data block. The WCB may store write transactions in its internal buffers. The WCB may determine whether to combine two write transactions, e.g., based on an operation mode or metadata in the write transactions. In embodiments where the WCB determines to combine the two write transactions, the WCB may combine the two write transactions into a new write transaction and write the new write transaction into the local memory or an internal memory of the WCB. The total number of write transactions for the workload can be reduced.</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>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHAJD_IMcVVw9vd18vRzVXAKdXNzDVLQCHd20lRw8w9ScHF1DVDwcw0NcvQBUiHh_kHeChoufn6aCo7Ozq4-rkGOIf5BPAysaYk5xam8UJqbQdnNNcTZQze1ID8-tbggMTk1L7UkPjTYyMDI2MDIwNLI0tHQmDhVAKoiK_Q</recordid><startdate>20230119</startdate><enddate>20230119</enddate><creator>Power, Martin</creator><creator>Grymel, Martin-Thomas</creator><creator>Hanrahan, Niall</creator><creator>Bernard, David Thomas</creator><creator>Brady, Kevin</creator><scope>EVB</scope></search><sort><creationdate>20230119</creationdate><title>WRITE COMBINE BUFFER (WCB) FOR DEEP NEURAL NETWORK (DNN) ACCELERATOR</title><author>Power, Martin ; Grymel, Martin-Thomas ; Hanrahan, Niall ; Bernard, David Thomas ; Brady, Kevin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2023020929A13</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>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Power, Martin</creatorcontrib><creatorcontrib>Grymel, Martin-Thomas</creatorcontrib><creatorcontrib>Hanrahan, Niall</creatorcontrib><creatorcontrib>Bernard, David Thomas</creatorcontrib><creatorcontrib>Brady, Kevin</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Power, Martin</au><au>Grymel, Martin-Thomas</au><au>Hanrahan, Niall</au><au>Bernard, David Thomas</au><au>Brady, Kevin</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>WRITE COMBINE BUFFER (WCB) FOR DEEP NEURAL NETWORK (DNN) ACCELERATOR</title><date>2023-01-19</date><risdate>2023</risdate><abstract>A compute tile includes a WCB that receives a workload of writing an output tensor of a convolution into a local memory of the compute tile. The local memory may be a SRAM. The WCB receives write transactions. A write transaction includes a data block, which is a part of the output tensor, and metadata describing one or more attributes of the data block. The WCB may store write transactions in its internal buffers. The WCB may determine whether to combine two write transactions, e.g., based on an operation mode or metadata in the write transactions. In embodiments where the WCB determines to combine the two write transactions, the WCB may combine the two write transactions into a new write transaction and write the new write transaction into the local memory or an internal memory of the WCB. The total number of write transactions for the workload can be reduced.</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng |
recordid | cdi_epo_espacenet_US2023020929A1 |
source | esp@cenet |
subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | WRITE COMBINE BUFFER (WCB) FOR DEEP NEURAL NETWORK (DNN) ACCELERATOR |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T03%3A00%3A20IST&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=Power,%20Martin&rft.date=2023-01-19&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2023020929A1%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 |