Presentation 2011-11-29
A good similarity of a datapath classification method for FPGA-based accelerator systems
Yui OGAWA, Yasunori OSANA, Masato YOSHIMI, Akira FUNAHASHI, Noriko HIROI, Hideharu AMANO, Yuichiro SHIBATA, Kiyoshi OGURI,
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Abstract(in English) Resource reduction design techniques also plays an important role to implement large-scale FPGA-based accelerator systems for floating point applications since available resources on FPGAs are limited. This paper shows the effect of parameters for datapath classification on the generated hardware modules. Aiming at investigating how effectively parameters work, the k-means based algrithm is used. The experimental results using an FPGA-based biochemical simulator reveal that the datapath clustering using the maximum common subgraphs as a parameter works fine in terms of the resource reduction and the latency degradation, while reduction effect of frequency degradation is limited.
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Keyword(in English) clustering / datapath classification / resource sharing
Paper # RECONF2011-46
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Committee RECONF
Conference Date 2011/11/21(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A good similarity of a datapath classification method for FPGA-based accelerator systems
Sub Title (in English)
Keyword(1) clustering
Keyword(2) datapath classification
Keyword(3) resource sharing
1st Author's Name Yui OGAWA
1st Author's Affiliation Nagasaki University()
2nd Author's Name Yasunori OSANA
2nd Author's Affiliation Ryukyu University
3rd Author's Name Masato YOSHIMI
3rd Author's Affiliation Doshisha University
4th Author's Name Akira FUNAHASHI
4th Author's Affiliation Keio University
5th Author's Name Noriko HIROI
5th Author's Affiliation Keio University
6th Author's Name Hideharu AMANO
6th Author's Affiliation Keio University
7th Author's Name Yuichiro SHIBATA
7th Author's Affiliation Nagasaki University
8th Author's Name Kiyoshi OGURI
8th Author's Affiliation Nagasaki University
Date 2011-11-29
Paper # RECONF2011-46
Volume (vol) vol.111
Number (no) 323
Page pp.pp.-
#Pages 6
Date of Issue