Presentation 2008-05-22
A Link Removal Methodology for Application-Specific Networks-on-chip on FPGAs
Daihan WANG, Hiroki MATSUTANI, Michihiro KOIBUCHI, Hideharu AMANO,
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Abstract(in English) The regular 2-D mesh topology has been utilized for most of Network-on-Chips (NoCs) on FPGAs. Spatially biased traffic generated in some applications makes a customization method for removing links more efficient, since some links become low utilization, In this paper, a link removal strategy that customizes the router in NoC is proposed for reconfigurable systems in order to minimize the required hardware amount. Based on the pre-analyzed traffic information, links on which the communication amount is small are removed to reduce the hardware cost with enough performance being kept. Two policies are proposed to avoid deadlocks and they outperform up*/down* routing that is a representative deadlock-free routing on irregular topology. In the image recognition application susan, the proposed method can save 30% of the hardware amount without performance degradation.
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Keyword(in English) Network-on-Chip / Link / FPGA / Topology / Routing
Paper # RECONF2008-7
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Conference Information
Committee RECONF
Conference Date 2008/5/15(1days)
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Registration To Reconfigurable Systems (RECONF)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Link Removal Methodology for Application-Specific Networks-on-chip on FPGAs
Sub Title (in English)
Keyword(1) Network-on-Chip
Keyword(2) Link
Keyword(3) FPGA
Keyword(4) Topology
Keyword(5) Routing
1st Author's Name Daihan WANG
1st Author's Affiliation Department of Information and Computer Science, Keio University:JST()
2nd Author's Name Hiroki MATSUTANI
2nd Author's Affiliation Department of Information and Computer Science, Keio University
3rd Author's Name Michihiro KOIBUCHI
3rd Author's Affiliation National Institute of Informatics JST
4th Author's Name Hideharu AMANO
4th Author's Affiliation Department of Information and Computer Science, Keio University
Date 2008-05-22
Paper # RECONF2008-7
Volume (vol) vol.108
Number (no) 48
Page pp.pp.-
#Pages 6
Date of Issue