Toward Dynamic Precision Scaling
This article makes the case for dynamic precision scaling to improve power efficiency by tailoring arithmetic precision adaptively to temporal changes in algorithmic noise tolerance throughout the execution.
Gespeichert in:
| Veröffentlicht in: | IEEE MICRO 2018-07, Vol.38 (4), p.30-39 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 39 |
|---|---|
| container_issue | 4 |
| container_start_page | 30 |
| container_title | IEEE MICRO |
| container_volume | 38 |
| creator | Yesil, Serif Akturk, Ismail Karpuzcu, Ulya R. |
| description | This article makes the case for dynamic precision scaling to improve power efficiency by tailoring arithmetic precision adaptively to temporal changes in algorithmic noise tolerance throughout the execution. |
| doi_str_mv | 10.1109/MM.2018.043191123 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_crossref_primary_10_1109_MM_2018_043191123</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8430621</ieee_id><sourcerecordid>2087742055</sourcerecordid><originalsourceid>FETCH-LOGICAL-c293t-4dab3b19647d56a984195c3c822a39de38ac3c850bd4db2122a5214416c9117a3</originalsourceid><addsrcrecordid>eNo9kN1LwzAUxYMoOKd_gPhS8LnzfiRN8yjzE1YUnM8hTTPp2NqZTGT_vR2TPV3O5Zx7Dz8hrhEmiGDuqmpCgOUEJKNBJD4RIzSsc4mST8UISFOOmulcXKS0BABFUI5ENu9_XWyyh13n1q3P3mPwbWr7LvvwbtV2X5fibOFWKVz9z7H4fHqcT1_y2dvz6_R-lnsyvM1l42qu0RRSN6pwppRolGdfEjk2TeDS7ZWCupFNTTisFaGUWPihrnY8FreHu5vYf_-EtLXL_id2w0s7FNVaEig1uPDg8rFPKYaF3cR27eLOItg9CFtVdg_CHkEMmZtDpg0hHP2lZCgI-Q9ir1Y2</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2087742055</pqid></control><display><type>article</type><title>Toward Dynamic Precision Scaling</title><source>IEEE Electronic Library (IEL)</source><creator>Yesil, Serif ; Akturk, Ismail ; Karpuzcu, Ulya R.</creator><creatorcontrib>Yesil, Serif ; Akturk, Ismail ; Karpuzcu, Ulya R.</creatorcontrib><description>This article makes the case for dynamic precision scaling to improve power efficiency by tailoring arithmetic precision adaptively to temporal changes in algorithmic noise tolerance throughout the execution.</description><identifier>ISSN: 0272-1732</identifier><identifier>EISSN: 1937-4143</identifier><identifier>DOI: 10.1109/MM.2018.043191123</identifier><identifier>CODEN: IEMIDZ</identifier><language>eng</language><publisher>Los Alamitos: IEEE</publisher><subject>Approximate computing ; Approximation algorithms ; Benchmark testing ; Computational efficiency ; dynamic precision scaling ; floating point arithmetic ; hardware ; Heuristic algorithms ; Monitoring ; Noise tolerance ; Power efficiency ; precision reduction ; Runtime ; Scaling</subject><ispartof>IEEE MICRO, 2018-07, Vol.38 (4), p.30-39</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-4dab3b19647d56a984195c3c822a39de38ac3c850bd4db2122a5214416c9117a3</citedby><cites>FETCH-LOGICAL-c293t-4dab3b19647d56a984195c3c822a39de38ac3c850bd4db2122a5214416c9117a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8430621$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27922,27923,54756</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8430621$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Yesil, Serif</creatorcontrib><creatorcontrib>Akturk, Ismail</creatorcontrib><creatorcontrib>Karpuzcu, Ulya R.</creatorcontrib><title>Toward Dynamic Precision Scaling</title><title>IEEE MICRO</title><addtitle>MM</addtitle><description>This article makes the case for dynamic precision scaling to improve power efficiency by tailoring arithmetic precision adaptively to temporal changes in algorithmic noise tolerance throughout the execution.</description><subject>Approximate computing</subject><subject>Approximation algorithms</subject><subject>Benchmark testing</subject><subject>Computational efficiency</subject><subject>dynamic precision scaling</subject><subject>floating point arithmetic</subject><subject>hardware</subject><subject>Heuristic algorithms</subject><subject>Monitoring</subject><subject>Noise tolerance</subject><subject>Power efficiency</subject><subject>precision reduction</subject><subject>Runtime</subject><subject>Scaling</subject><issn>0272-1732</issn><issn>1937-4143</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kN1LwzAUxYMoOKd_gPhS8LnzfiRN8yjzE1YUnM8hTTPp2NqZTGT_vR2TPV3O5Zx7Dz8hrhEmiGDuqmpCgOUEJKNBJD4RIzSsc4mST8UISFOOmulcXKS0BABFUI5ENu9_XWyyh13n1q3P3mPwbWr7LvvwbtV2X5fibOFWKVz9z7H4fHqcT1_y2dvz6_R-lnsyvM1l42qu0RRSN6pwppRolGdfEjk2TeDS7ZWCupFNTTisFaGUWPihrnY8FreHu5vYf_-EtLXL_id2w0s7FNVaEig1uPDg8rFPKYaF3cR27eLOItg9CFtVdg_CHkEMmZtDpg0hHP2lZCgI-Q9ir1Y2</recordid><startdate>20180701</startdate><enddate>20180701</enddate><creator>Yesil, Serif</creator><creator>Akturk, Ismail</creator><creator>Karpuzcu, Ulya R.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20180701</creationdate><title>Toward Dynamic Precision Scaling</title><author>Yesil, Serif ; Akturk, Ismail ; Karpuzcu, Ulya R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-4dab3b19647d56a984195c3c822a39de38ac3c850bd4db2122a5214416c9117a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Approximate computing</topic><topic>Approximation algorithms</topic><topic>Benchmark testing</topic><topic>Computational efficiency</topic><topic>dynamic precision scaling</topic><topic>floating point arithmetic</topic><topic>hardware</topic><topic>Heuristic algorithms</topic><topic>Monitoring</topic><topic>Noise tolerance</topic><topic>Power efficiency</topic><topic>precision reduction</topic><topic>Runtime</topic><topic>Scaling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yesil, Serif</creatorcontrib><creatorcontrib>Akturk, Ismail</creatorcontrib><creatorcontrib>Karpuzcu, Ulya R.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE MICRO</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yesil, Serif</au><au>Akturk, Ismail</au><au>Karpuzcu, Ulya R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Toward Dynamic Precision Scaling</atitle><jtitle>IEEE MICRO</jtitle><stitle>MM</stitle><date>2018-07-01</date><risdate>2018</risdate><volume>38</volume><issue>4</issue><spage>30</spage><epage>39</epage><pages>30-39</pages><issn>0272-1732</issn><eissn>1937-4143</eissn><coden>IEMIDZ</coden><abstract>This article makes the case for dynamic precision scaling to improve power efficiency by tailoring arithmetic precision adaptively to temporal changes in algorithmic noise tolerance throughout the execution.</abstract><cop>Los Alamitos</cop><pub>IEEE</pub><doi>10.1109/MM.2018.043191123</doi><tpages>10</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 0272-1732 |
| ispartof | IEEE MICRO, 2018-07, Vol.38 (4), p.30-39 |
| issn | 0272-1732 1937-4143 |
| language | eng |
| recordid | cdi_crossref_primary_10_1109_MM_2018_043191123 |
| source | IEEE Electronic Library (IEL) |
| subjects | Approximate computing Approximation algorithms Benchmark testing Computational efficiency dynamic precision scaling floating point arithmetic hardware Heuristic algorithms Monitoring Noise tolerance Power efficiency precision reduction Runtime Scaling |
| title | Toward Dynamic Precision Scaling |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T17%3A31%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Toward%20Dynamic%20Precision%20Scaling&rft.jtitle=IEEE%20MICRO&rft.au=Yesil,%20Serif&rft.date=2018-07-01&rft.volume=38&rft.issue=4&rft.spage=30&rft.epage=39&rft.pages=30-39&rft.issn=0272-1732&rft.eissn=1937-4143&rft.coden=IEMIDZ&rft_id=info:doi/10.1109/MM.2018.043191123&rft_dat=%3Cproquest_RIE%3E2087742055%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2087742055&rft_id=info:pmid/&rft_ieee_id=8430621&rfr_iscdi=true |