A FPGA-based FSE Accelerator with Dynamic Table for ZSTD compression

Finite state entropy (FSE) is a crucial component of the powerful Zstandard (ZSTD) lossless compressor. However, previous hardware implementations of FSE have used a static table method, causing major performance (compression ratio) losses. Therefore, in this paper, we propose a pipelined dynamic table FSE accelerator on FPGA to mitigate the compression performance loss. We present a fully pipelined dynamic table building design, which adjusts the state table size by setting four compression levels through configurable parameters. To better adapt to the pipelined design, we improved the normalization algorithm and proposed a parallel design scheme to reduce the encoding module’s waiting time. Our accelerator implemented on a Xilinx Kintex-7 KC705 FPGA board runs at 180MHz. To our knowledge, this is the first hardware accelerator of a dynamic table FSE. Experimental results show that our accelerator achieves throughputs of 735MB/s to 982MB/s, which is 15× to 38× faster than Intel(R) Core(TM) i7-13700K CPU at 3.40 GHz. Compared to previous state-of-the-art FPGA implementation, our accelerator improves the compression ratio by 23.89% (Silesia corpus) and 28.75% (Canterbury corpus) at essentially the same throughput.

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Publication Details

Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11044267
Citations
1
Primary Topic
Advanced Data Compression Techniques
Type
article
Field-Weighted Citation Impact
1.28
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article

A FPGA-based FSE Accelerator with Dynamic Table for ZSTD compression

Zibo Guo, Kai Liu, Yandan Lin
1 citations
Advanced Data Compression Techniques
1.28
article

A FPGA-based FSE Accelerator with Dynamic Table for ZSTD compression

Zibo Guo, Kai Liu, Yandan Lin
article en
1 citations

Abstract

Finite state entropy (FSE) is a crucial component of the powerful Zstandard (ZSTD) lossless compressor. However, previous hardware implementations of FSE have used a static table method, causing major performance (compression ratio) losses. Therefore, in this paper, we propose a pipelined dynamic table FSE accelerator on FPGA to mitigate the compression performance loss. We present a fully pipelined dynamic table building design, which adjusts the state table size by setting four compression levels through configurable parameters. To better adapt to the pipelined design, we improved the normalization algorithm and proposed a parallel design scheme to reduce the encoding module’s waiting time. Our accelerator implemented on a Xilinx Kintex-7 KC705 FPGA board runs at 180MHz. To our knowledge, this is the first hardware accelerator of a dynamic table FSE. Experimental results show that our accelerator achieves throughputs of 735MB/s to 982MB/s, which is 15× to 38× faster than Intel(R) Core(TM) i7-13700K CPU at 3.40 GHz. Compared to previous state-of-the-art FPGA implementation, our accelerator improves the compression ratio by 23.89% (Silesia corpus) and 28.75% (Canterbury corpus) at essentially the same throughput.

Xidian University (CN)
Affordable and clean energy
Openalex Percentile: Top 19%
Advanced Data Compression Techniques
1.28
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A FPGA-based FSE Accelerator with Dynamic Table for ZSTD compression — Zibo Guo, Kai Liu, et al. · (2025) | TGRS Research Map | TGRS