Towards an optimized multi FPGA architecture with STDM network: A preliminary study

Kazuei Hironaka, Ng Anh Vu Doan, Hideharu Amano

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

In this work, we propose a multi FPGA architecture with STDM network that aims to tackle compute-intensive applications such as neural networks training or pattern recognition in artificial intelligence while realizing high cost-performance and energy efficiency. To achieve this goal, optimizing different aspects of the system communication is a key challenge. In order to do this, a preliminary study on the application mapping for both the execution time and the number of slots for the STDM is carried out. An optimization based on a multi-criteria paradigm is implemented and the preliminary results show the possibility to optimize several parameters of the communication simultaneously alongside quantitative analyses of different architecture choices.

本文言語English
ホスト出版物のタイトルApplied Reconfigurable Computing
ホスト出版物のサブタイトルArchitectures, Tools, and Applications - 14th International Symposium, ARC 2018, Proceedings
編集者Nikolaos Voros, Georgios Keramidas, Christos Antonopoulos, Michael Huebner, Pedro C. Diniz, Diana Goehringer
出版社Springer Verlag
ページ142-150
ページ数9
ISBN(印刷版)9783319788890
DOI
出版ステータスPublished - 2018
イベント14th International Symposium on Applied Reconfigurable Computing, ARC 2018 - Santorini, Greece
継続期間: 2018 5 22018 5 4

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10824 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other14th International Symposium on Applied Reconfigurable Computing, ARC 2018
国/地域Greece
CitySantorini
Period18/5/218/5/4

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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