FPGA Trax Solver based on a neural network design

Takumi Fujimori, Tomoya Akabe, Yoshizumi Ito, Kouta Akagi, Shinya Furukawa, Hiroki Shinba, Aoi Tanibata, Minoru Watanabe

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

2 Citations (Scopus)

Abstract

For research related to field programmable gate arrays (FPGAs), various FPGA game solvers have been developed recently. The FPGA game solver can achieve up to 1,000 times faster processing speeds than processor-based operations. This paper presents one development of such FPGA game solvers: An FPGA Trax Solver based on a neural network design. The speed of the FPGA Trax Solver operations implemented on an FPGA (Arria II GX; Altera Corp.) is over 60 times greater than operation of C++ based software on a personal computer (Vostro 460; Dell Inc.).

Original languageEnglish
Title of host publication2015 International Conference on Field Programmable Technology, FPT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages260-263
Number of pages4
ISBN (Electronic)9781467390910
DOIs
Publication statusPublished - Jan 25 2016
Externally publishedYes
EventInternational Conference on Field Programmable Technology, FPT 2015 - Queenstown, New Zealand
Duration: Dec 7 2015Dec 9 2015

Publication series

Name2015 International Conference on Field Programmable Technology, FPT 2015

Conference

ConferenceInternational Conference on Field Programmable Technology, FPT 2015
Country/TerritoryNew Zealand
CityQueenstown
Period12/7/1512/9/15

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Software

Fingerprint

Dive into the research topics of 'FPGA Trax Solver based on a neural network design'. Together they form a unique fingerprint.

Cite this