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A novel methodology for accelerating bitstream relocation in partially reconfigurable systems

机译:在部分可重配置系统中加速比特流重定位的新颖方法

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摘要

Xilinx Virtex FPGAs offer the possibility of Partial Reconfiguration (PR). Arbitrary tasks can be allocated and de-allocated onto FPGA without system interruption. However, mapping a task to any available PR region requires a unique partial bitstream for each partition, hence reducing memory storage requirements. In recent years, an interest on overcoming this problem has lead to the concept of Partial Bit-stream Relocation (PBR). The principle is to perform bitstream modification to map it to different regions. However, PBR consumes scarce resources in hardware implementations, and introduces a prohibitive time overhead when done in software. In order to find the best compromise between these approaches, we have developed the OORBIT tool (Offline/Online Relocation of Bitstreams) which accelerates the relocation time considerably. The methodology consists, firstly, in an offline bitstream modification phase which generates relocatable bitstreams including additional relocation data. Afterwards, online relocation is performed by a simple substitution of the initial location data by those calculated offline, corresponding to the target PRR. In this paper, we provide a detailed description of our methodology, emphasizing its interaction with the newest Xilinx Partition PR Design Flow, which results in major changes compared to previous efforts. Finally, a performance comparative analysis is detailed to highlight the significant relocation speedups that might help in making the relocation more amenable.
机译:Xilinx Virtex FPGA提供了部分重新配置(PR)的可能性。可以在不中断系统的情况下将任意任务分配和分配到FPGA。但是,将任务映射到任何可用的PR区域都需要每个分区具有唯一的部分位流,因此减少了内存存储需求。近年来,对克服此问题的兴趣导致了部分比特流重定位(PBR)的概念。原理是执行位流修改以将其映射到不同区域。但是,PBR在硬件实现中消耗了稀缺的资源,并且在软件中完成时引入了过高的时间开销。为了在这些方法之间找到最佳的折衷方案,我们开发了OORBIT工具(位流的离线/在线重定位),该工具大大加快了重定位时间。该方法首先包括离线位流修改阶段,该阶段生成包括其他重定位数据的可重定位位流。然后,通过用对应于目标PRR的离线计算的初始位置数据简单替换初始位置数据来执行在线重定位。在本文中,我们详细介绍了我们的方法,强调了它与最新的Xilinx分区PR设计流程的交互作用,与以前的工作相比,这产生了重大变化。最后,对性能进行了比较分析,以突出显示显着的重定位加速,这可能有助于使重定位更容易接受。

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