performance driven FPGA partitioning with complex resources

碩士 === 中原大學 === 資訊工程研究所 === 89 === To shorten time to market , the architecture , FPGA, is used widely. Because the circuit is larger and more complex, it is necessary to partition a large circuit to several sub-circuits. Although a FPGA is programmable, the chief shortcoming of FPGA is poor perform...

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Main Authors: Yu-Shan Hung, 洪羽珊
Other Authors: Tsai-Ming Hsieh
Format: Others
Language:zh-TW
Published: 2001
Online Access:http://ndltd.ncl.edu.tw/handle/96617730412697036494
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spelling ndltd-TW-089CYCU53920032016-07-06T04:10:06Z http://ndltd.ncl.edu.tw/handle/96617730412697036494 performance driven FPGA partitioning with complex resources FPGA中以效能為導向之多資源限制電路分割法 Yu-Shan Hung 洪羽珊 碩士 中原大學 資訊工程研究所 89 To shorten time to market , the architecture , FPGA, is used widely. Because the circuit is larger and more complex, it is necessary to partition a large circuit to several sub-circuits. Although a FPGA is programmable, the chief shortcoming of FPGA is poor performance, so that many real time systems can not implemented by FPGAs, especially when we deal with the problem of FPGA partitioning, the performance problem is more serious. We will partition the circuit to several different FPGAs and the delay of the wires cross two FPGAs is larger. We hope to decrease the delay of the critical path to achieve the performance driven goal. As the fabrication technology rapidly evolves, the FPGA with single resource is not enough, so the architecture of FPGA with complex resources is brought up. The Objective of our research is performance driven partitioning that partition the circuit to FPGAs with complex resources successfully with cost minimization. When we partition the circuit, we do not increase the delay of the critical path as far as possible. In the results of the experiments, we can see the algorithm not only partition the circuit with cost minimization but also improve the performance of the partitioning. Tsai-Ming Hsieh 謝財明 2001 學位論文 ; thesis 61 zh-TW
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language zh-TW
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description 碩士 === 中原大學 === 資訊工程研究所 === 89 === To shorten time to market , the architecture , FPGA, is used widely. Because the circuit is larger and more complex, it is necessary to partition a large circuit to several sub-circuits. Although a FPGA is programmable, the chief shortcoming of FPGA is poor performance, so that many real time systems can not implemented by FPGAs, especially when we deal with the problem of FPGA partitioning, the performance problem is more serious. We will partition the circuit to several different FPGAs and the delay of the wires cross two FPGAs is larger. We hope to decrease the delay of the critical path to achieve the performance driven goal. As the fabrication technology rapidly evolves, the FPGA with single resource is not enough, so the architecture of FPGA with complex resources is brought up. The Objective of our research is performance driven partitioning that partition the circuit to FPGAs with complex resources successfully with cost minimization. When we partition the circuit, we do not increase the delay of the critical path as far as possible. In the results of the experiments, we can see the algorithm not only partition the circuit with cost minimization but also improve the performance of the partitioning.
author2 Tsai-Ming Hsieh
author_facet Tsai-Ming Hsieh
Yu-Shan Hung
洪羽珊
author Yu-Shan Hung
洪羽珊
spellingShingle Yu-Shan Hung
洪羽珊
performance driven FPGA partitioning with complex resources
author_sort Yu-Shan Hung
title performance driven FPGA partitioning with complex resources
title_short performance driven FPGA partitioning with complex resources
title_full performance driven FPGA partitioning with complex resources
title_fullStr performance driven FPGA partitioning with complex resources
title_full_unstemmed performance driven FPGA partitioning with complex resources
title_sort performance driven fpga partitioning with complex resources
publishDate 2001
url http://ndltd.ncl.edu.tw/handle/96617730412697036494
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AT hóngyǔshān fpgazhōngyǐxiàonéngwèidǎoxiàngzhīduōzīyuánxiànzhìdiànlùfēngēfǎ
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