Matrix Vector Multiply Techniques
Techniques are disclosed relating to parallel computing. In some embodiments, fine-grained data communication facilitates operations on large data sets such as multiplication of a sparse matrix by a vector. In this example, a first data set (the matrix) and a second data set (the vector) are distrib...
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| creator | IVES MICHAEL R DENNY RONALD R ROCKSTROH JAY W REED COKE S |
| description | Techniques are disclosed relating to parallel computing. In some embodiments, fine-grained data communication facilitates operations on large data sets such as multiplication of a sparse matrix by a vector. In this example, a first data set (the matrix) and a second data set (the vector) are distributed across multiple processing nodes. Performance of the overall multiplication operation may require communication of data among the processing nodes. In various embodiments, fine-grained communication of this data may reduce processing times and/or power consumption by avoiding congestion. |
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| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2016094660A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2016094660A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2016094660A13</originalsourceid><addsrcrecordid>eNrjZFD0TSwpyqxQCEtNLskvUvAtzSnJLMipVAhJTc7IyywsTS3mYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBoZmBpYmZmYGjobGxKkCACfXJsE</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Matrix Vector Multiply Techniques</title><source>esp@cenet</source><creator>IVES MICHAEL R ; DENNY RONALD R ; ROCKSTROH JAY W ; REED COKE S</creator><creatorcontrib>IVES MICHAEL R ; DENNY RONALD R ; ROCKSTROH JAY W ; REED COKE S</creatorcontrib><description>Techniques are disclosed relating to parallel computing. In some embodiments, fine-grained data communication facilitates operations on large data sets such as multiplication of a sparse matrix by a vector. In this example, a first data set (the matrix) and a second data set (the vector) are distributed across multiple processing nodes. Performance of the overall multiplication operation may require communication of data among the processing nodes. In various embodiments, fine-grained communication of this data may reduce processing times and/or power consumption by avoiding congestion.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRIC DIGITAL DATA PROCESSING ; ELECTRICITY ; PHYSICS ; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><creationdate>2016</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=20160331&DB=EPODOC&CC=US&NR=2016094660A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20160331&DB=EPODOC&CC=US&NR=2016094660A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>IVES MICHAEL R</creatorcontrib><creatorcontrib>DENNY RONALD R</creatorcontrib><creatorcontrib>ROCKSTROH JAY W</creatorcontrib><creatorcontrib>REED COKE S</creatorcontrib><title>Matrix Vector Multiply Techniques</title><description>Techniques are disclosed relating to parallel computing. In some embodiments, fine-grained data communication facilitates operations on large data sets such as multiplication of a sparse matrix by a vector. In this example, a first data set (the matrix) and a second data set (the vector) are distributed across multiple processing nodes. Performance of the overall multiplication operation may require communication of data among the processing nodes. In various embodiments, fine-grained communication of this data may reduce processing times and/or power consumption by avoiding congestion.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>ELECTRICITY</subject><subject>PHYSICS</subject><subject>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2016</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZFD0TSwpyqxQCEtNLskvUvAtzSnJLMipVAhJTc7IyywsTS3mYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBoZmBpYmZmYGjobGxKkCACfXJsE</recordid><startdate>20160331</startdate><enddate>20160331</enddate><creator>IVES MICHAEL R</creator><creator>DENNY RONALD R</creator><creator>ROCKSTROH JAY W</creator><creator>REED COKE S</creator><scope>EVB</scope></search><sort><creationdate>20160331</creationdate><title>Matrix Vector Multiply Techniques</title><author>IVES MICHAEL R ; DENNY RONALD R ; ROCKSTROH JAY W ; REED COKE S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2016094660A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2016</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>ELECTRICITY</topic><topic>PHYSICS</topic><topic>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</topic><toplevel>online_resources</toplevel><creatorcontrib>IVES MICHAEL R</creatorcontrib><creatorcontrib>DENNY RONALD R</creatorcontrib><creatorcontrib>ROCKSTROH JAY W</creatorcontrib><creatorcontrib>REED COKE S</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>IVES MICHAEL R</au><au>DENNY RONALD R</au><au>ROCKSTROH JAY W</au><au>REED COKE S</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Matrix Vector Multiply Techniques</title><date>2016-03-31</date><risdate>2016</risdate><abstract>Techniques are disclosed relating to parallel computing. In some embodiments, fine-grained data communication facilitates operations on large data sets such as multiplication of a sparse matrix by a vector. In this example, a first data set (the matrix) and a second data set (the vector) are distributed across multiple processing nodes. Performance of the overall multiplication operation may require communication of data among the processing nodes. In various embodiments, fine-grained communication of this data may reduce processing times and/or power consumption by avoiding congestion.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRIC DIGITAL DATA PROCESSING ELECTRICITY PHYSICS TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION |
| title | Matrix Vector Multiply Techniques |
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