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Low-Complexity and Resource-Aware Compression Algorithm for FPGA Bitstreams

机译:FPGA比特流的低复杂度和资源感知压缩算法

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Since the logic density of modern FPGA devices has been increasing rapidly, FPGA bitstream compression has become a target for research. However, efficient compression algorithms usually involve high complexity, leading to high penalty in decompression resources. In this paper, a novel simple compression algorithm has been developed that can fairly reduce the bit-stream size without demanding any complexity in the decompression scheme. It has two modes of operation. The first mode is intra-bitstream which is implemented using runlength encoding that compresses consecutive repeated words. The other mode is inter-bitstream which is implemented using BitMask technique that eliminates redundant words among multiple bitstreams. On bitstreams with high utilization, our algorithm scores compression ratios of 59% ~ 77%, in compare to 42% ~ 80% for other hardware-implementable algorithms. Additionally, the required decompression resources are minimized. Moreover, the proposed algorithm addresses partial bitstreams of dynamically reconfigurable arrays. Our results show a 28% compression ratio for two relocated partial bitstreams. Finally, a Bitstream Compression Tool was developed to automate the process of compression optimization.
机译:由于现代FPGA器件的逻辑密度迅速增加,因此FPGA比特流压缩已成为研究的目标。然而,有效的压缩算法通常涉及高度复杂性,导致减压资源的高度罚款。在本文中,开发了一种新颖的简单压缩算法,其可以在不要求减压方案中的任何复杂性的情况下公平地降低比特流尺寸。它有两种操作模式。第一模式是帧内流,使用Runlenth编码来实现,该Runlength编码将连续重复的单词压缩。其他模式是使用位掩码技术实现的位间流,其消除多个比特流之间的冗余词。在具有高利用率的比特流中,我们的算法分数为59%〜77%的压缩比,比较为其他硬件可实现算法的42%〜80%。另外,所需的减压资源被最小化。此外,所提出的算法解决了动态可重构阵列的部分比特流。我们的结果显示了两个重定位的部分比特流的28%压缩比。最后,开发了一个比特流压缩工具来自动化压缩优化过程。

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