The Optimization of Resource Management on the Reconfigurable Computing
博士 === 元智大學 === 資訊工程學系 === 104 === Because of the finite nature of chip hardware resources, it is important to have a good mechanism for hardware resource management. Reconfigurable computing increases to improve the reusability, flexibility, and performance of hardware resources and addresses to so...
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ndltd-TW-104YZU053920752017-08-12T04:35:30Z http://ndltd.ncl.edu.tw/handle/84637323971040070658 The Optimization of Resource Management on the Reconfigurable Computing 重組態計算資源管理之最佳化 Chin-Chun Huang 黃金俊 博士 元智大學 資訊工程學系 104 Because of the finite nature of chip hardware resources, it is important to have a good mechanism for hardware resource management. Reconfigurable computing increases to improve the reusability, flexibility, and performance of hardware resources and addresses to solve the shortage of hardware resources. This dissertation presents a mechanism for a hardware resource management mechanism for use in a reconfigurable computing device FPGA. This mechanism identifies a suitable maximum free memory rectangle for configuration to allocate newly arrived tasks, and remove the original task(s) for reconfiguration to replace the new task, which optimizes the hardware planning. Simulation results show that a space scan approach is about 1.5 to 3 times faster than the proposed scan approach, in terms of operation time, and efficient replaceable spaces are computed by the best-fit method for reconfiguration. Shu-Yuan Chen Chao-Jang Hwang 陳淑媛 黃朝章 2016 學位論文 ; thesis 100 en_US |
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博士 === 元智大學 === 資訊工程學系 === 104 === Because of the finite nature of chip hardware resources, it is important to have a good mechanism for hardware resource management. Reconfigurable computing increases to improve the reusability, flexibility, and performance of hardware resources and addresses to solve the shortage of hardware resources.
This dissertation presents a mechanism for a hardware resource management mechanism for use in a reconfigurable computing device FPGA. This mechanism identifies a suitable maximum free memory rectangle for configuration to allocate newly arrived tasks, and remove the original task(s) for reconfiguration to replace the new task, which optimizes the hardware planning. Simulation results show that a space scan approach is about 1.5 to 3 times faster than the proposed scan approach, in terms of operation time, and efficient replaceable spaces are computed by the best-fit method for reconfiguration.
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Shu-Yuan Chen |
author_facet |
Shu-Yuan Chen Chin-Chun Huang 黃金俊 |
author |
Chin-Chun Huang 黃金俊 |
spellingShingle |
Chin-Chun Huang 黃金俊 The Optimization of Resource Management on the Reconfigurable Computing |
author_sort |
Chin-Chun Huang |
title |
The Optimization of Resource Management on the Reconfigurable Computing |
title_short |
The Optimization of Resource Management on the Reconfigurable Computing |
title_full |
The Optimization of Resource Management on the Reconfigurable Computing |
title_fullStr |
The Optimization of Resource Management on the Reconfigurable Computing |
title_full_unstemmed |
The Optimization of Resource Management on the Reconfigurable Computing |
title_sort |
optimization of resource management on the reconfigurable computing |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/84637323971040070658 |
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