Presentation 2012-05-29
An FPGA Implementation for 3-layer Perception with the FDFM Processor Core Approach
Yuki AGOU, Yasuaki ITO, Koji NAKANO,
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Abstract(in English) This paper presents an FPGA implementation of a 3-layer perceptron using the FDFM (Few DSP blocks and Few block RAMs) approach implemented in the Xilinx Virtex-6 family FPGA. In the FDFM approach, multiple processor cores with few DSP slices and few block RAMs are used. We have implemented 150 processor cores for perceptrons in a Xilinx Virtex-6 family FPGA XC6VLX240T-FF1156. The implementation results show that the 150 processor cores for 32-32-32 input-hidden-output layer perceptrons can be implemented in the FPGA using 150 DSP48 slices, 185 block RAMs, and 9676 slices. It runs in 242.89MHz clock frequency and a single evaluation of 150 nodes perceptron can be performed 1.65 × 10^7 times per second.
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Keyword(in English) Perceptron / Neural networks / FPGA / DSP48 slice / Block RAM / Pipeline
Paper # RECONF2012-8
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Conference Information
Committee AI
Conference Date 2012/5/22(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An FPGA Implementation for 3-layer Perception with the FDFM Processor Core Approach
Sub Title (in English)
Keyword(1) Perceptron
Keyword(2) Neural networks
Keyword(3) FPGA
Keyword(4) DSP48 slice
Keyword(5) Block RAM
Keyword(6) Pipeline
1st Author's Name Yuki AGOU
1st Author's Affiliation Department of Information Engineering, Hiroshima University()
2nd Author's Name Yasuaki ITO
2nd Author's Affiliation Department of Information Engineering, Hiroshima University
3rd Author's Name Koji NAKANO
3rd Author's Affiliation Department of Information Engineering, Hiroshima University
Date 2012-05-29
Paper # RECONF2012-8
Volume (vol) vol.112
Number (no) 70
Page pp.pp.-
#Pages 6
Date of Issue