Low Power Binding for Switching Activity Reduction Based on Table Decomposition Method
Low power design in earlier stage of design process is more effective to reduce dynamic power. In this paper, we focus on the problem of reducing switching activity in high-level synthesis, especially, in binding functional module, bus, register, etc. We propose low power binding algorithm for switc...
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| creator | Jihyung Kim Byeongwhee Yoon Sungho Park Jundong Cho |
| description | Low power design in earlier stage of design process is more effective to reduce dynamic power. In this paper, we focus on the problem of reducing switching activity in high-level synthesis, especially, in binding functional module, bus, register, etc. We propose low power binding algorithm for switching activity reduction based on table decomposition method. The proposed algorithm finds optimal or close-to-optimal binding with fast calculation time by using the property of optimal substructure. Experimental result shows that the proposed method finds a solution 1.7-14.4% more accurately in comparison to conventional heuristic methods, and gets a solution 8.0-479.2 times faster than optimal method does. |
| doi_str_mv | 10.1109/ICCEA.2010.43 |
| format | Conference Proceeding |
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Experimental result shows that the proposed method finds a solution 1.7-14.4% more accurately in comparison to conventional heuristic methods, and gets a solution 8.0-479.2 times faster than optimal method does.</description><identifier>ISBN: 1424460794</identifier><identifier>ISBN: 9781424460793</identifier><identifier>EISBN: 1424460808</identifier><identifier>EISBN: 9781424460809</identifier><identifier>DOI: 10.1109/ICCEA.2010.43</identifier><identifier>LCCN: 2009942799</identifier><language>eng</language><publisher>IEEE</publisher><subject>Application software ; binding ; Circuits ; Communication switching ; Computer applications ; Design engineering ; High level synthesis ; Large scale integration ; low power ; optimal substructure ; Power engineering and energy ; Power engineering computing ; switching activity ; table decomposition ; Voltage</subject><ispartof>2010 Second International Conference on Computer Engineering and Applications, 2010, Vol.1, p.181-185</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5445841$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,778,782,787,788,2054,27908,54903</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5445841$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Jihyung Kim</creatorcontrib><creatorcontrib>Byeongwhee Yoon</creatorcontrib><creatorcontrib>Sungho Park</creatorcontrib><creatorcontrib>Jundong Cho</creatorcontrib><title>Low Power Binding for Switching Activity Reduction Based on Table Decomposition Method</title><title>2010 Second International Conference on Computer Engineering and Applications</title><addtitle>ICCEA</addtitle><description>Low power design in earlier stage of design process is more effective to reduce dynamic power. In this paper, we focus on the problem of reducing switching activity in high-level synthesis, especially, in binding functional module, bus, register, etc. We propose low power binding algorithm for switching activity reduction based on table decomposition method. The proposed algorithm finds optimal or close-to-optimal binding with fast calculation time by using the property of optimal substructure. Experimental result shows that the proposed method finds a solution 1.7-14.4% more accurately in comparison to conventional heuristic methods, and gets a solution 8.0-479.2 times faster than optimal method does.</description><subject>Application software</subject><subject>binding</subject><subject>Circuits</subject><subject>Communication switching</subject><subject>Computer applications</subject><subject>Design engineering</subject><subject>High level synthesis</subject><subject>Large scale integration</subject><subject>low power</subject><subject>optimal substructure</subject><subject>Power engineering and energy</subject><subject>Power engineering computing</subject><subject>switching activity</subject><subject>table decomposition</subject><subject>Voltage</subject><isbn>1424460794</isbn><isbn>9781424460793</isbn><isbn>1424460808</isbn><isbn>9781424460809</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9jE1PAjEURWsMiYosXbnpHwBf29d2uoQRlQSjUXRLOtM3UgOUzIwS_r3jR7ybe09Ochm7EDASAtzVLM-n45GEjlEdsTOBEtFABtnxP1iHPXYmAZxDaZ07YYOmeYcuqCVoPGWv87Tnj2lPNZ_EbYjbN16lmj_vY1uuvmlctvEztgf-ROGj22nLJ76hwLux8MWa-DWVabNLTfyR99SuUjhnvcqvGxr8dZ-93EwX-d1w_nA7y8fzYRRWt0NvVSmExQDOg1NGSU8mZMqAKY0xoSpN5YHI6gJBW-VckZlCZk4j2sqT6rPL399IRMtdHTe-Piw7qzMU6gvViFIa</recordid><startdate>201003</startdate><enddate>201003</enddate><creator>Jihyung Kim</creator><creator>Byeongwhee Yoon</creator><creator>Sungho Park</creator><creator>Jundong Cho</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201003</creationdate><title>Low Power Binding for Switching Activity Reduction Based on Table Decomposition Method</title><author>Jihyung Kim ; Byeongwhee Yoon ; Sungho Park ; Jundong Cho</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-a73c1174d09a093632ae6d83606c666dfc6fa0ee75b4057399b86b2895447fae3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Application software</topic><topic>binding</topic><topic>Circuits</topic><topic>Communication switching</topic><topic>Computer applications</topic><topic>Design engineering</topic><topic>High level synthesis</topic><topic>Large scale integration</topic><topic>low power</topic><topic>optimal substructure</topic><topic>Power engineering and energy</topic><topic>Power engineering computing</topic><topic>switching activity</topic><topic>table decomposition</topic><topic>Voltage</topic><toplevel>online_resources</toplevel><creatorcontrib>Jihyung Kim</creatorcontrib><creatorcontrib>Byeongwhee Yoon</creatorcontrib><creatorcontrib>Sungho Park</creatorcontrib><creatorcontrib>Jundong Cho</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Jihyung Kim</au><au>Byeongwhee Yoon</au><au>Sungho Park</au><au>Jundong Cho</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Low Power Binding for Switching Activity Reduction Based on Table Decomposition Method</atitle><btitle>2010 Second International Conference on Computer Engineering and Applications</btitle><stitle>ICCEA</stitle><date>2010-03</date><risdate>2010</risdate><volume>1</volume><spage>181</spage><epage>185</epage><pages>181-185</pages><isbn>1424460794</isbn><isbn>9781424460793</isbn><eisbn>1424460808</eisbn><eisbn>9781424460809</eisbn><abstract>Low power design in earlier stage of design process is more effective to reduce dynamic power. In this paper, we focus on the problem of reducing switching activity in high-level synthesis, especially, in binding functional module, bus, register, etc. We propose low power binding algorithm for switching activity reduction based on table decomposition method. The proposed algorithm finds optimal or close-to-optimal binding with fast calculation time by using the property of optimal substructure. Experimental result shows that the proposed method finds a solution 1.7-14.4% more accurately in comparison to conventional heuristic methods, and gets a solution 8.0-479.2 times faster than optimal method does.</abstract><pub>IEEE</pub><doi>10.1109/ICCEA.2010.43</doi><tpages>5</tpages></addata></record> |
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| subjects | Application software binding Circuits Communication switching Computer applications Design engineering High level synthesis Large scale integration low power optimal substructure Power engineering and energy Power engineering computing switching activity table decomposition Voltage |
| title | Low Power Binding for Switching Activity Reduction Based on Table Decomposition Method |
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