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Accelerated frame data relocation on Xilinx field programmable gate array.

机译:Xilinx现场可编程门阵列上的加速帧数据重定位。

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摘要

Emerging reconfiguration techniques that include partial dynamic reconfiguration and partial bitstream relocation have been addressed in the past in order to expose the flexibility of field programmable gate array at runtime. Partial bitstream relocation is a technique used to target a partial bitstream of a partial reconfigurable region (PRR) onto other identical reconfigurable regions inside an FPGA, while partial dynamic reconfiguration is used to target a single reconfigurable region. Prior works in this domain aim to minimize "relocation time" with the help of on-chip or on-line processing. In this thesis, a novel PRRPRR relocation algorithm is proposed and implemented both in software and hardware. Dedicated hardware architecture, called the accelerated relocation circuit (ARC), is designed and presented for fast relocation. An analytical model is also proposed to evaluate the performance of the PRR-PRR relocation algorithm and highlight the speed-up obtained by the proposed hardware implementation. ARC has been tested on two categories of designs: dynamically scalable systolic array designs and fault tolerant designs. It has been compared against the software implementation of the algorithm, BiRF, hardware architecture for bitstream relocation, and a software solution for bitstream relocation. An average speed-up of 153x for ARC over BiRF is observed, with the additional advantage of not storing any bitstreams, thus saving invaluable block random access memory (BRAMs). Accuracy of proposed analytical model was found to be more than 95% for all the test cases.
机译:过去已经解决了包括部分动态重新配置和部分比特流重新定位在内的新兴重新配置技术,以便在运行时展现现场可编程门阵列的灵活性。部分位流重定位是一种用于将部分可重配置区域(PRR)的部分位流定位到FPGA内其他相同的可重配置区域的技术,而部分动态重配置则用于定位单个可重配置区域。该领域的现有技术旨在借助片上或在线处理来最大程度地减少“重定位时间”。本文提出了一种新颖的PRRPRR重定位算法,并在软件和硬件上实现。设计并提出了专用硬件架构,称为加速重定位电路(ARC),用于快速重定位。还提出了一个分析模型来评估PRR-PRR重定位算法的性能,并强调所提出的硬件实现所获得的提速。 ARC已针对两类设计进行了测试:动态可伸缩的脉动阵列设计和容错设计。已将其与算法的软件实现,BiRF,用于比特流重定位的硬件体系结构以及用于比特流重定位的软件解决方案进行了比较。观察到ARC在BiRF之上的平均速度提高了153倍,另外还有一个优点是不存储任何位流,从而节省了宝贵的块随机存取存储器(BRAM)。对于所有测试案例,所提出的分析模型的准确性均超过95%。

著录项

  • 作者

    Kallam, Ramachandra.;

  • 作者单位

    Utah State University.;

  • 授予单位 Utah State University.;
  • 学科 Engineering Computer.
  • 学位 M.S.
  • 年度 2010
  • 页码 57 p.
  • 总页数 57
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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