Presentation 2016-05-19
Succinct-Data-Structure Based on Block-Size-Constrained Compression for a Text-Search Accelerator
Masanori Hariyama, Hasitha Muthumala Waidyasooriya,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Succinct data structures are introduced to efficiently solve a given problem while representing the data using as a little space as possible. However, the full potential of the succinct data structures have not been utilized in software-based implementations due to the large storage size and the memory access bottleneck. This paper proposes a hardware-oriented data compression method to reduce the storage space without increasing the processing time. We use a parallel processing architecture to reduce the decompression overhead. The evaluation result demonstrates that the data is compressed by 37.5% still having fast data access with small decompression overhead.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Succinct data structures / data compression / text-search / FPGA / big-data applications
Paper # RECONF2016-2
Date of Issue 2016-05-12 (RECONF)

Conference Information
Committee RECONF
Conference Date 2016/5/19(2days)
Place (in Japanese) (See Japanese page)
Place (in English) FUJITSU LAB.
Topics (in Japanese) (See Japanese page)
Topics (in English) Reconfigurable Systems, etc.
Chair Minoru Watanabe(Shizuoka Univ.)
Vice Chair Masato Motomura(Hokkaido Univ.) / Yuichiro Shibata(Nagasaki Univ.)
Secretary Masato Motomura(Toshiba) / Yuichiro Shibata(Univ. of Tsukuba)
Assistant Kazuya Tanikagawa(Hiroshima City Univ.) / Takefumi Miyoshi(e-trees.Japan)

Paper Information
Registration To Technical Committee on Reconfigurable Systems
Language ENG-JTITLE
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Succinct-Data-Structure Based on Block-Size-Constrained Compression for a Text-Search Accelerator
Sub Title (in English)
Keyword(1) Succinct data structures
Keyword(2) data compression
Keyword(3) text-search
Keyword(4) FPGA
Keyword(5) big-data applications
1st Author's Name Masanori Hariyama
1st Author's Affiliation Tohoku University(Tohoku Univ.)
2nd Author's Name Hasitha Muthumala Waidyasooriya
2nd Author's Affiliation Tohoku University(Tohoku Univ.)
Date 2016-05-19
Paper # RECONF2016-2
Volume (vol) vol.116
Number (no) RECONF-53
Page pp.pp.3-8(RECONF),
#Pages 6
Date of Issue 2016-05-12 (RECONF)