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Performance Comparison of Multiple Approaches of Status Register for Medium Density Memory Suitable for Implementation of a Lossless Compression Dictionary: (Abstract Only)

Published: 15 February 2018 Publication History

Abstract

This paper presents a performance comparison of various approaches of realization of status register suitable for maintaining (in)valid bits in mid-density memory structures implemented in Xilinx FPGAs. An example of a such structure with status register could be a dictionary for Lempel-Ziv based lossless compression algorithms where the dictionary has to be initialized before each run of the algorithm with minimum time and logic resources consumption. The performance evaluation of designs has been made in Xilinx ISE and Vivado toolkits for the Virtex-7 FPGA. This research has been partially supported by the CTU project SGS17/017/OHK3/1T/18 "Dependable and attack-resistant architectures for programmable devices" and by the project "E-infrastructure CESNET "modernization" no. CZ.02.1.01/0.0/0.0/16 013/0001797.

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Published In

cover image ACM Conferences
FPGA '18: Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays
February 2018
310 pages
ISBN:9781450356145
DOI:10.1145/3174243
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 February 2018

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Author Tags

  1. algorithm
  2. compression
  3. dictionary
  4. fpga
  5. hash
  6. lz77
  7. memory
  8. performance
  9. register
  10. status
  11. table

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  • Poster

Funding Sources

  • CTU project
  • E-infrastructure CESNET - modernization

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FPGA '18
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FPGA '18 Paper Acceptance Rate 10 of 116 submissions, 9%;
Overall Acceptance Rate 125 of 627 submissions, 20%

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