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Custard: ASIC Workload-Aware Reliable Design for Multicore IoT Processors
In the typical application-specified integrated circuit (ASIC) design flow, reliability-driven performance loss is computed, in part, with switching activity files. However, for ASIC designs of multicore processors, the typical switching activity files lack multithreaded software workload informatio...
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Published in: | IEEE transactions on very large scale integration (VLSI) systems 2019-03, Vol.27 (3), p.700-710 |
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description | In the typical application-specified integrated circuit (ASIC) design flow, reliability-driven performance loss is computed, in part, with switching activity files. However, for ASIC designs of multicore processors, the typical switching activity files lack multithreaded software workload information. An accurate switching activity for a multicore design can be generated using a logic simulator. However, the logic simulator process suffers from long runtimes when dealing with real workloads. This paper analyzes the effects of scaling multithreaded workloads and proposes Custard, a hardware methodology for lifetime improvement of multicore processors by obtaining multithreaded switching activity signatures in a short period of time using a performance simulator (gem5), logic simulator (VCS), and thermal simulator (HotSpot). Custard is particularly important for multicore, Internet of Things processors as the runtime feedback-based reliability mechanisms used on current multicore processors incur area and power overhead that could be prohibitive for smaller form factors and power budgets. Experiments are performed with Custard using real workloads on an OpenSPARC T1 design with two, four, and eight cores that are fully synthesized and routed. The default-sized T1 core is improved to have a reliability increase of 4.1\times , with 0.08% and 1.57% increase on average in cell area and switching power, respectively. |
doi_str_mv | 10.1109/TVLSI.2018.2878664 |
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However, for ASIC designs of multicore processors, the typical switching activity files lack multithreaded software workload information. An accurate switching activity for a multicore design can be generated using a logic simulator. However, the logic simulator process suffers from long runtimes when dealing with real workloads. This paper analyzes the effects of scaling multithreaded workloads and proposes Custard, a hardware methodology for lifetime improvement of multicore processors by obtaining multithreaded switching activity signatures in a short period of time using a performance simulator (gem5), logic simulator (VCS), and thermal simulator (HotSpot). Custard is particularly important for multicore, Internet of Things processors as the runtime feedback-based reliability mechanisms used on current multicore processors incur area and power overhead that could be prohibitive for smaller form factors and power budgets. Experiments are performed with Custard using real workloads on an OpenSPARC T1 design with two, four, and eight cores that are fully synthesized and routed. The default-sized T1 core is improved to have a reliability increase of <inline-formula> <tex-math notation="LaTeX">4.1\times </tex-math></inline-formula>, with 0.08% and 1.57% increase on average in cell area and switching power, respectively.</description><identifier>ISSN: 1063-8210</identifier><identifier>EISSN: 1557-9999</identifier><identifier>DOI: 10.1109/TVLSI.2018.2878664</identifier><identifier>CODEN: IEVSE9</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Circuit design ; Circuit reliability ; Component reliability ; Computer simulation ; Custard ; Degradation ; Form factors ; Integrated circuits ; Internet of Things ; Internet of Things (IoT) ; lifetime ; Logic ; Microprocessors ; multicore ; Multicore processing ; Negative bias temperature instability ; Processors ; Program processors ; Reliability ; Switches ; Switching ; Thermal simulation ; Thermal simulators ; Thermal variables control ; Workload ; workload aware ; Workloads</subject><ispartof>IEEE transactions on very large scale integration (VLSI) systems, 2019-03, Vol.27 (3), p.700-710</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c339t-ec738aed412b86294beeba13a4bce0d3a5febc410b8a5dfdc56cfc9f1385a5d93</citedby><cites>FETCH-LOGICAL-c339t-ec738aed412b86294beeba13a4bce0d3a5febc410b8a5dfdc56cfc9f1385a5d93</cites><orcidid>0000-0002-7631-5696 ; 0000-0002-6292-7069</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8536898$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids></links><search><creatorcontrib>Lerner, Scott</creatorcontrib><creatorcontrib>Yilmaz, Isikcan</creatorcontrib><creatorcontrib>Taskin, Baris</creatorcontrib><title>Custard: ASIC Workload-Aware Reliable Design for Multicore IoT Processors</title><title>IEEE transactions on very large scale integration (VLSI) systems</title><addtitle>TVLSI</addtitle><description>In the typical application-specified integrated circuit (ASIC) design flow, reliability-driven performance loss is computed, in part, with switching activity files. However, for ASIC designs of multicore processors, the typical switching activity files lack multithreaded software workload information. An accurate switching activity for a multicore design can be generated using a logic simulator. However, the logic simulator process suffers from long runtimes when dealing with real workloads. This paper analyzes the effects of scaling multithreaded workloads and proposes Custard, a hardware methodology for lifetime improvement of multicore processors by obtaining multithreaded switching activity signatures in a short period of time using a performance simulator (gem5), logic simulator (VCS), and thermal simulator (HotSpot). Custard is particularly important for multicore, Internet of Things processors as the runtime feedback-based reliability mechanisms used on current multicore processors incur area and power overhead that could be prohibitive for smaller form factors and power budgets. Experiments are performed with Custard using real workloads on an OpenSPARC T1 design with two, four, and eight cores that are fully synthesized and routed. The default-sized T1 core is improved to have a reliability increase of <inline-formula> <tex-math notation="LaTeX">4.1\times </tex-math></inline-formula>, with 0.08% and 1.57% increase on average in cell area and switching power, respectively.</description><subject>Circuit design</subject><subject>Circuit reliability</subject><subject>Component reliability</subject><subject>Computer simulation</subject><subject>Custard</subject><subject>Degradation</subject><subject>Form factors</subject><subject>Integrated circuits</subject><subject>Internet of Things</subject><subject>Internet of Things (IoT)</subject><subject>lifetime</subject><subject>Logic</subject><subject>Microprocessors</subject><subject>multicore</subject><subject>Multicore processing</subject><subject>Negative bias temperature instability</subject><subject>Processors</subject><subject>Program processors</subject><subject>Reliability</subject><subject>Switches</subject><subject>Switching</subject><subject>Thermal simulation</subject><subject>Thermal simulators</subject><subject>Thermal variables control</subject><subject>Workload</subject><subject>workload aware</subject><subject>Workloads</subject><issn>1063-8210</issn><issn>1557-9999</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNo9kE9LAzEQxYMoWKtfQC8Bz1uTzWabeCvrv4WKYqseQ5KdyNa10WQX8dub2uJcZph57w38EDqlZEIpkRfLl_minuSEikkupqIsiz00opxPM5lqP82kZJnIKTlERzGuCKFFIckI1dUQex2aSzxb1BV-9eG987rJZt86AH6CrtWmA3wFsX1bY-cDvh-6vrU-XWu_xI_BW4jRh3iMDpzuIpzs-hg931wvq7ts_nBbV7N5ZhmTfQZ2yoSGpqC5EWUuCwNgNGW6MBZIwzR3YGxBiRGaN66xvLTOSkeZ4Gkh2Ridb3M_g_8aIPZq5YewTi9VTkWZaDDOkyrfqmzwMQZw6jO0Hzr8KErUBpn6Q6Y2yNQOWTKdbU0tAPwbBGelkIL9ArIGaGo</recordid><startdate>20190301</startdate><enddate>20190301</enddate><creator>Lerner, Scott</creator><creator>Yilmaz, Isikcan</creator><creator>Taskin, Baris</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>7SP</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-7631-5696</orcidid><orcidid>https://orcid.org/0000-0002-6292-7069</orcidid></search><sort><creationdate>20190301</creationdate><title>Custard: ASIC Workload-Aware Reliable Design for Multicore IoT Processors</title><author>Lerner, Scott ; Yilmaz, Isikcan ; Taskin, Baris</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c339t-ec738aed412b86294beeba13a4bce0d3a5febc410b8a5dfdc56cfc9f1385a5d93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Circuit design</topic><topic>Circuit reliability</topic><topic>Component reliability</topic><topic>Computer simulation</topic><topic>Custard</topic><topic>Degradation</topic><topic>Form factors</topic><topic>Integrated circuits</topic><topic>Internet of Things</topic><topic>Internet of Things (IoT)</topic><topic>lifetime</topic><topic>Logic</topic><topic>Microprocessors</topic><topic>multicore</topic><topic>Multicore processing</topic><topic>Negative bias temperature instability</topic><topic>Processors</topic><topic>Program processors</topic><topic>Reliability</topic><topic>Switches</topic><topic>Switching</topic><topic>Thermal simulation</topic><topic>Thermal simulators</topic><topic>Thermal variables control</topic><topic>Workload</topic><topic>workload aware</topic><topic>Workloads</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lerner, Scott</creatorcontrib><creatorcontrib>Yilmaz, Isikcan</creatorcontrib><creatorcontrib>Taskin, Baris</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>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on very large scale integration (VLSI) systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lerner, Scott</au><au>Yilmaz, Isikcan</au><au>Taskin, Baris</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Custard: ASIC Workload-Aware Reliable Design for Multicore IoT Processors</atitle><jtitle>IEEE transactions on very large scale integration (VLSI) systems</jtitle><stitle>TVLSI</stitle><date>2019-03-01</date><risdate>2019</risdate><volume>27</volume><issue>3</issue><spage>700</spage><epage>710</epage><pages>700-710</pages><issn>1063-8210</issn><eissn>1557-9999</eissn><coden>IEVSE9</coden><abstract>In the typical application-specified integrated circuit (ASIC) design flow, reliability-driven performance loss is computed, in part, with switching activity files. However, for ASIC designs of multicore processors, the typical switching activity files lack multithreaded software workload information. An accurate switching activity for a multicore design can be generated using a logic simulator. However, the logic simulator process suffers from long runtimes when dealing with real workloads. This paper analyzes the effects of scaling multithreaded workloads and proposes Custard, a hardware methodology for lifetime improvement of multicore processors by obtaining multithreaded switching activity signatures in a short period of time using a performance simulator (gem5), logic simulator (VCS), and thermal simulator (HotSpot). Custard is particularly important for multicore, Internet of Things processors as the runtime feedback-based reliability mechanisms used on current multicore processors incur area and power overhead that could be prohibitive for smaller form factors and power budgets. Experiments are performed with Custard using real workloads on an OpenSPARC T1 design with two, four, and eight cores that are fully synthesized and routed. The default-sized T1 core is improved to have a reliability increase of <inline-formula> <tex-math notation="LaTeX">4.1\times </tex-math></inline-formula>, with 0.08% and 1.57% increase on average in cell area and switching power, respectively.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TVLSI.2018.2878664</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-7631-5696</orcidid><orcidid>https://orcid.org/0000-0002-6292-7069</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Circuit design Circuit reliability Component reliability Computer simulation Custard Degradation Form factors Integrated circuits Internet of Things Internet of Things (IoT) lifetime Logic Microprocessors multicore Multicore processing Negative bias temperature instability Processors Program processors Reliability Switches Switching Thermal simulation Thermal simulators Thermal variables control Workload workload aware Workloads |
title | Custard: ASIC Workload-Aware Reliable Design for Multicore IoT Processors |
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