Presentation 2012-05-29
Implementation and Evaluation of FPGA-based Data Compression Hardware of Floating-Point Data-Stream
Tomohiro Ueno, Yoshiaki Kono, Kentaro Sano, Satoru Yamamoto,
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Abstract(in English) This paper presents FPGA-based implementation and performance analysis of the hardware for lossless compression of a floating-point data stream. The implementation includes the variable-to-fixed length converter (VF Converter) and the fixed-to-variable length converter (FV Converter). The prototype system on ALTERA Stratix IV FPGA demonstrates that the compressor and the decompressor are very small so that they each consume only 0.5 % adaptive LUTs of the total resource on the FPGA. The compressor and the decompressor can operate at about 240 MHz and 200 MHz. Such small but high-speed hardware modules can reduce the bandwidth by a factor of an average compression ratio. Evaluation with the computational results for 2D fluid simulation shows that the compressor has an average compression ratio of 3.7. This means that the compressor operating at 200 MHz can supply the bandwidth of 800 MB/s for single-precision floating-point numbers with the compressed bandwidth of 216 MB/s.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Data Compression / FPGA / Streaming Computing / Floating-Point
Paper # RECONF2012-7
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Conference Information
Committee AI
Conference Date 2012/5/22(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Implementation and Evaluation of FPGA-based Data Compression Hardware of Floating-Point Data-Stream
Sub Title (in English)
Keyword(1) Data Compression
Keyword(2) FPGA
Keyword(3) Streaming Computing
Keyword(4) Floating-Point
1st Author's Name Tomohiro Ueno
1st Author's Affiliation Graduate School of Information Sciences, Tohoku University()
2nd Author's Name Yoshiaki Kono
2nd Author's Affiliation Graduate School of Information Sciences, Tohoku University
3rd Author's Name Kentaro Sano
3rd Author's Affiliation Graduate School of Information Sciences, Tohoku University
4th Author's Name Satoru Yamamoto
4th Author's Affiliation Graduate School of Information Sciences, Tohoku University
Date 2012-05-29
Paper # RECONF2012-7
Volume (vol) vol.112
Number (no) 70
Page pp.pp.-
#Pages 6
Date of Issue