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An Efficient High-Throughput LZ77-Based Decompressor in Reconfigurable Logic

Cited 5 time in Web of Science Cited 5 time in Scopus
Authors

Fang, Jian; Chen, Jianyu; Lee, Jinho; Al-Ars, Zaid; Hofstee, H. Peter

Issue Date
2020-09
Publisher
Springer Verlag
Citation
Journal of Signal Processing Systems, Vol.92 No.9, pp.931-947
Abstract
To best leverage high-bandwidth storage and network technologies requires an improvement in the speed at which we can decompress data. We present a "refine and recycle" method applicable to LZ77-type decompressors that enables efficient high-bandwidth designs and present an implementation in reconfigurable logic. The method refines the write commands (for literal tokens) and read commands (for copy tokens) to a set of commands that target a single bank of block ram, and rather than performing all the dependency calculations saves logic by recycling (read) commands that return with an invalid result. A single "Snappy" decompressor implemented in reconfigurable logic leveraging this method is capable of processing multiple literal or copy tokens per cycle and achieves up to 7.2GB/s, which can keep pace with an NVMe device. The proposed method is about an order of magnitude faster and an order of magnitude more power efficient than a state-of-the-art single-core software implementation. The logic and block ram resources required by the decompressor are sufficiently low so that a set of these decompressors can be implemented on a single FPGA of reasonable size to keep up with the bandwidth provided by the most recent interface technologies.
ISSN
1939-8018
URI
https://hdl.handle.net/10371/199363
DOI
https://doi.org/10.1007/s11265-020-01547-w
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