Bandwidth compression of multiple numerical data streams for high performance custom computing

Tomohiro Ueno, Ryo Ito, Kentaro Sano, Satoru Yamamoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Bandwidth compression improves the performance of stream computing by enhancing an effective bandwidth. To apply the bandwidth compression to numerical applications such as numerical simulations, a compressor has to handle multiple data streams. In this paper, we describe a design of an FPGA-based bandwidth compressor for high performance stream computation. For synchronization of original data in multiple compressed streams with different bit-rate, we propose a data block transmission scheduler and explore a design space to reduce the size of their barrel shifters.

Original languageEnglish
Title of host publicationASAP 2014 - Proceedings of the 2014 IEEE 25th International Conference on Application-Specific Systems, Architectures and Processors
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages190-191
Number of pages2
ISBN (Print)9781479936090
DOIs
Publication statusPublished - 2014
Event25th IEEE International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2014 - Zurich, Switzerland
Duration: 2014 Jun 182014 Jun 20

Publication series

NameProceedings of the International Conference on Application-Specific Systems, Architectures and Processors
ISSN (Print)1063-6862

Other

Other25th IEEE International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2014
Country/TerritorySwitzerland
CityZurich
Period14/6/1814/6/20

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications

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