High Productivity Computing System Based on FPGA and Its Application on Plasma Simulation
For computational intensive applications, effective and high performance computing capacity is of the most important. Besides the large scale parallel computers or supercomputers, small calculating arrays based on DSPs or FPGAs have become a reasonable selection for relatively lower cost circumstanc...
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creator | Weijun Zhang Yujie Dun Weixiang Shi Baogang Miao Bingo Zhang |
description | For computational intensive applications, effective and high performance computing capacity is of the most important. Besides the large scale parallel computers or supercomputers, small calculating arrays based on DSPs or FPGAs have become a reasonable selection for relatively lower cost circumstance. In this paper, we have developed a high productivity computing system (HPCS) based on FPGA. In this system, the HPCS computing unit (HCU) board uses two pieces of Altera StratixII 2S60/90/180 and can communicate with an optional host PC via PCI/PCI-x interface. The IEEE-754 compatible double precision floating point arithmetic IP package was realized to meet the computational requirements. Device drivers for the HCU board were written for both Linux and Windows OS. The HPCS has been applied to accelerate plasma simulation code called TRISTAN. When simulating 512 k particles, the result shows that the HPCS performs about 20 times faster than a Pentium-IV 2.8 GHz PC with 1 GB DDR memory. |
doi_str_mv | 10.1109/HPCC.2008.109 |
format | Conference Proceeding |
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Besides the large scale parallel computers or supercomputers, small calculating arrays based on DSPs or FPGAs have become a reasonable selection for relatively lower cost circumstance. In this paper, we have developed a high productivity computing system (HPCS) based on FPGA. In this system, the HPCS computing unit (HCU) board uses two pieces of Altera StratixII 2S60/90/180 and can communicate with an optional host PC via PCI/PCI-x interface. The IEEE-754 compatible double precision floating point arithmetic IP package was realized to meet the computational requirements. Device drivers for the HCU board were written for both Linux and Windows OS. The HPCS has been applied to accelerate plasma simulation code called TRISTAN. When simulating 512 k particles, the result shows that the HPCS performs about 20 times faster than a Pentium-IV 2.8 GHz PC with 1 GB DDR memory.</description><identifier>ISBN: 0769533523</identifier><identifier>ISBN: 9780769533520</identifier><identifier>DOI: 10.1109/HPCC.2008.109</identifier><identifier>LCCN: 2008905318</identifier><language>eng</language><publisher>IEEE</publisher><subject>Driver circuits ; Field programmable gate arrays ; FPGA ; Hardware ; HPC ; IP networks ; Linux ; Magnetic cores ; PCI ; Plasma Simulation ; Random access memory ; Reconfigurable Computing</subject><ispartof>2008 10th IEEE International Conference on High Performance Computing and Communications, 2008, p.756-761</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/4637776$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4637776$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Weijun Zhang</creatorcontrib><creatorcontrib>Yujie Dun</creatorcontrib><creatorcontrib>Weixiang Shi</creatorcontrib><creatorcontrib>Baogang Miao</creatorcontrib><creatorcontrib>Bingo Zhang</creatorcontrib><title>High Productivity Computing System Based on FPGA and Its Application on Plasma Simulation</title><title>2008 10th IEEE International Conference on High Performance Computing and Communications</title><addtitle>HPCC</addtitle><description>For computational intensive applications, effective and high performance computing capacity is of the most important. 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When simulating 512 k particles, the result shows that the HPCS performs about 20 times faster than a Pentium-IV 2.8 GHz PC with 1 GB DDR memory.</description><subject>Driver circuits</subject><subject>Field programmable gate arrays</subject><subject>FPGA</subject><subject>Hardware</subject><subject>HPC</subject><subject>IP networks</subject><subject>Linux</subject><subject>Magnetic cores</subject><subject>PCI</subject><subject>Plasma Simulation</subject><subject>Random access memory</subject><subject>Reconfigurable Computing</subject><isbn>0769533523</isbn><isbn>9780769533520</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjF1LwzAYhQMy0M1deuVN_kDrm6TNx2Utbh0MLEwvvBppm85Iv2hSof_eToUDD-c5cBB6IBASAuopy9M0pAAyXNoNWoPgKmYspmyF1levIGZE3qKtc18AQBQXQOUd-sjs5RPnY19Npbff1s847dth8ra74NPsvGnxs3amwn2Hd_k-wbqr8ME7nAxDY0vt7TIsyRvtWo1Ptp2aX3mPVrVunNn-c4Pedy9vaRYcX_eHNDkGlojYB4Jqw42UmpYyKhgVRMmorKgsylpTpUQsiIEiIhUDzaHQsihio2QpuIhYLdkGPf79WmPMeRhtq8f5HHEmhODsB3MlUSs</recordid><startdate>200809</startdate><enddate>200809</enddate><creator>Weijun Zhang</creator><creator>Yujie Dun</creator><creator>Weixiang Shi</creator><creator>Baogang Miao</creator><creator>Bingo Zhang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200809</creationdate><title>High Productivity Computing System Based on FPGA and Its Application on Plasma Simulation</title><author>Weijun Zhang ; Yujie Dun ; Weixiang Shi ; Baogang Miao ; Bingo Zhang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-72ae6e88a2c84b3271984cd28bcfa2997571e0b41d30a60ba8bb5e98c76743f83</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Driver circuits</topic><topic>Field programmable gate arrays</topic><topic>FPGA</topic><topic>Hardware</topic><topic>HPC</topic><topic>IP networks</topic><topic>Linux</topic><topic>Magnetic cores</topic><topic>PCI</topic><topic>Plasma Simulation</topic><topic>Random access memory</topic><topic>Reconfigurable Computing</topic><toplevel>online_resources</toplevel><creatorcontrib>Weijun Zhang</creatorcontrib><creatorcontrib>Yujie Dun</creatorcontrib><creatorcontrib>Weixiang Shi</creatorcontrib><creatorcontrib>Baogang Miao</creatorcontrib><creatorcontrib>Bingo Zhang</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>Weijun Zhang</au><au>Yujie Dun</au><au>Weixiang Shi</au><au>Baogang Miao</au><au>Bingo Zhang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>High Productivity Computing System Based on FPGA and Its Application on Plasma Simulation</atitle><btitle>2008 10th IEEE International Conference on High Performance Computing and Communications</btitle><stitle>HPCC</stitle><date>2008-09</date><risdate>2008</risdate><spage>756</spage><epage>761</epage><pages>756-761</pages><isbn>0769533523</isbn><isbn>9780769533520</isbn><abstract>For computational intensive applications, effective and high performance computing capacity is of the most important. Besides the large scale parallel computers or supercomputers, small calculating arrays based on DSPs or FPGAs have become a reasonable selection for relatively lower cost circumstance. In this paper, we have developed a high productivity computing system (HPCS) based on FPGA. In this system, the HPCS computing unit (HCU) board uses two pieces of Altera StratixII 2S60/90/180 and can communicate with an optional host PC via PCI/PCI-x interface. The IEEE-754 compatible double precision floating point arithmetic IP package was realized to meet the computational requirements. Device drivers for the HCU board were written for both Linux and Windows OS. The HPCS has been applied to accelerate plasma simulation code called TRISTAN. When simulating 512 k particles, the result shows that the HPCS performs about 20 times faster than a Pentium-IV 2.8 GHz PC with 1 GB DDR memory.</abstract><pub>IEEE</pub><doi>10.1109/HPCC.2008.109</doi><tpages>6</tpages></addata></record> |
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identifier | ISBN: 0769533523 |
ispartof | 2008 10th IEEE International Conference on High Performance Computing and Communications, 2008, p.756-761 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Driver circuits Field programmable gate arrays FPGA Hardware HPC IP networks Linux Magnetic cores PCI Plasma Simulation Random access memory Reconfigurable Computing |
title | High Productivity Computing System Based on FPGA and Its Application on Plasma Simulation |
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