Acceleration of ART Algorithm on an FPGA Board with Xilinx SDAccel

Yasuaki Okamoto, Hideharu Amano

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

2 Citations (Scopus)

Abstract

Radiation transfer (RT) is an important physical processes of energy transfer in the form of electromagnetic wave, and ART method is a ray-tracing for computing RT of re-connected photons in the simulation of protogalaxies formation. It requires a heavy computational power and complicated memory accesses which are not suitable to acceleration with GPUs. Here, for the future use of FPGA-in-Cloud, the acceleration of ART method with SDAccel on Xilinx's cost efficient FPGA board KCU1500 was tried. Although the execution time was not reduced compared with the host CPU with various combination of derivatives, the energy consumption was reduced to 1/3.35.

Original languageEnglish
Title of host publicationProceedings - 2019 7th International Symposium on Computing and Networking Workshops, CANDARW 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages280-284
Number of pages5
ISBN (Electronic)9781728152684
DOIs
Publication statusPublished - 2019 Nov
Event7th International Symposium on Computing and Networking Workshops, CANDARW 2019 - Nagasaki, Japan
Duration: 2019 Nov 262019 Nov 29

Publication series

NameProceedings - 2019 7th International Symposium on Computing and Networking Workshops, CANDARW 2019

Conference

Conference7th International Symposium on Computing and Networking Workshops, CANDARW 2019
Country/TerritoryJapan
CityNagasaki
Period19/11/2619/11/29

Keywords

  • ART Algorithm
  • FPGA in cloud
  • SDAccel

ASJC Scopus subject areas

  • Hardware and Architecture
  • Information Systems
  • Artificial Intelligence
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Acceleration of ART Algorithm on an FPGA Board with Xilinx SDAccel'. Together they form a unique fingerprint.

Cite this