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DSIM: scaling time warp to 1,033 processors
This paper presents the design, implementation and performance of a time warp simulator, called DSIM, which targets clusters comprised of thousands of processors. DSIM employs a novel technique for GVT computation, called the time quantum GVT algorithm that requires no message acknowledgement, relie...
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creator | Chen, G. Szymanski, B.K. |
description | This paper presents the design, implementation and performance of a time warp simulator, called DSIM, which targets clusters comprised of thousands of processors. DSIM employs a novel technique for GVT computation, called the time quantum GVT algorithm that requires no message acknowledgement, relies on constant-length messages and is efficient on clusters with large numbers of processors. Its implementation uses a technique called Local Fossil Collection to alleviate the overhead of memory reclamation and to support efficient event management. DSIM is also equipped with a simple programming interface to ease programming and debugging of simulations. Experimental results obtained on the PHOLD benchmark demonstrated that DSIM can process as many as 228 million events per second on 1033 processors. |
doi_str_mv | 10.1109/WSC.2005.1574269 |
format | conference_proceeding |
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Experimental results obtained on the PHOLD benchmark demonstrated that DSIM can process as many as 228 million events per second on 1033 processors.</description><subject>Clustering algorithms</subject><subject>Computational modeling</subject><subject>Computer simulation</subject><subject>Concurrent computing</subject><subject>Delay</subject><subject>Discrete event simulation</subject><subject>Distributed computing</subject><subject>Memory management</subject><subject>Quantum computing</subject><subject>Time warp simulation</subject><issn>0891-7736</issn><issn>1558-4305</issn><isbn>0780395190</isbn><isbn>9780780395190</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj01LAzEQQIMfYFu9C15y111nMjubxJusX4WKhyoeS5JOZaV1l82C-O8V7OndHu8pdY5QIoK_fl82pQHgEtlWpvYHaoLMrqgI-FBNwTogz-jhSE3AeSyspfpETXP-BEDHaCbq8m45f77ROYVt-_Whx3Yn-jsMvR47jVdApPuhS5JzN-RTdbwJ2yxne87U28P9a_NULF4e583tomgN2rFw_q_J1DYYKxxtChS88JqjhwgVRzGbVFGQtScjDOSSFUqefMBaXIw0Uxf_3lZEVv3Q7sLws9pP0i8BokEm</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Chen, G.</creator><creator>Szymanski, B.K.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2005</creationdate><title>DSIM: scaling time warp to 1,033 processors</title><author>Chen, G. ; Szymanski, B.K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i217t-89005267a27e5b7ca3a9e5d5b90b045be2fc43aed932e5038c7e3c939a16e8bb3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Clustering algorithms</topic><topic>Computational modeling</topic><topic>Computer simulation</topic><topic>Concurrent computing</topic><topic>Delay</topic><topic>Discrete event simulation</topic><topic>Distributed computing</topic><topic>Memory management</topic><topic>Quantum computing</topic><topic>Time warp simulation</topic><toplevel>online_resources</toplevel><creatorcontrib>Chen, G.</creatorcontrib><creatorcontrib>Szymanski, B.K.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chen, G.</au><au>Szymanski, B.K.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>DSIM: scaling time warp to 1,033 processors</atitle><btitle>Proceedings of the Winter Simulation Conference, 2005</btitle><stitle>WSC</stitle><date>2005</date><risdate>2005</risdate><spage>10 pp.</spage><pages>10 pp.-</pages><issn>0891-7736</issn><eissn>1558-4305</eissn><isbn>0780395190</isbn><isbn>9780780395190</isbn><abstract>This paper presents the design, implementation and performance of a time warp simulator, called DSIM, which targets clusters comprised of thousands of processors. DSIM employs a novel technique for GVT computation, called the time quantum GVT algorithm that requires no message acknowledgement, relies on constant-length messages and is efficient on clusters with large numbers of processors. Its implementation uses a technique called Local Fossil Collection to alleviate the overhead of memory reclamation and to support efficient event management. DSIM is also equipped with a simple programming interface to ease programming and debugging of simulations. Experimental results obtained on the PHOLD benchmark demonstrated that DSIM can process as many as 228 million events per second on 1033 processors.</abstract><pub>IEEE</pub><doi>10.1109/WSC.2005.1574269</doi><oa>free_for_read</oa></addata></record> |
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subjects | Clustering algorithms Computational modeling Computer simulation Concurrent computing Delay Discrete event simulation Distributed computing Memory management Quantum computing Time warp simulation |
title | DSIM: scaling time warp to 1,033 processors |
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