Self-decompressing FPGA Bitstreams

Shenghou Ma, P. Ampadu
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Abstract

SRAM based FPGAs (field programmable gate arrays) are volatile devices, and need to reload its configuration (bitstream) every time after power up. Bitstream compression is one of the major method to reduce the cost of storing the configuration storage and speed up configuration. However, existing complete bitstream (as compared to partial bitstream) compression methods require an external decompresser implemented either in another FPGA or CPU. This drawback prevents deployment of bitstream compression to already in-field systems. This paper drew inspiration from self-extracting archive, and utilizes the self partial reconfiguration capabilities of modern FPGAs to create a self-decompressing FPGA bitstreams so that the decompression engine is located inside the compressed bitstream itself. Analysis showed that this method will never increase the size of bitstream, and can achieve configuration time reduction whenever the compression ratio is smaller than 7/9 and the configuration reduction scales almost linearly with the compression ratio. Furthermore, the paper shows that by using bitstream assembly techniques, it is possible to choose the compression algorithm after building the target bitstream, therefore, the best compression ratio can be achieved given a pool of available decompression engines.
自解压缩FPGA比特流
基于SRAM的fpga(现场可编程门阵列)是易失性器件,每次上电后都需要重新加载其配置(比特流)。比特流压缩是降低配置存储成本和提高配置速度的主要方法之一。然而,现有的完整比特流(与部分比特流相比)压缩方法需要在另一个FPGA或CPU中实现外部解压缩器。这个缺点阻碍了比特流压缩在现场系统中的部署。本文从自提取存档中获得灵感,利用现代FPGA的自局部重构能力创建自解压缩FPGA位流,使解压缩引擎位于被压缩的位流内部。分析表明,该方法不会增加比特流的大小,当压缩比小于7/9时,可以实现配置时间的减少,并且配置时间的减少几乎与压缩比成线性关系。此外,本文还表明,通过使用比特流汇编技术,可以在构建目标比特流后选择压缩算法,因此,在给定可用的解压缩引擎池时,可以获得最佳压缩比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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