• DocumentCode
    1996991
  • Title

    Tightly Coupled Accelerators Architecture for Minimizing Communication Latency among Accelerators

  • Author

    Hanawa, T. ; Kodama, Yuetsu ; Boku, Taisuke ; Sato, Mitsuhisa

  • Author_Institution
    Center for Comput. Sci., Univ. of Tsukuba, Tsukuba, Japan
  • fYear
    2013
  • fDate
    20-24 May 2013
  • Firstpage
    1030
  • Lastpage
    1039
  • Abstract
    In recent years, heterogeneous clusters using accelerators have been widely used in high performance computing systems. In such clusters, inter-node communication among accelerators requires several memory copies via CPU memory, and the communication latency causes severe performance degradation. In order to address this problem, we propose the Tightly Coupled Accelerators (TCA) architecture to reduce the communication latency between accelerators over different nodes. In addition, we promote the HA-PACS project at the Center for Computational Sciences, University of Tsukuba, in order to build up the HA-PACS base cluster system, as a commodity GPU cluster, and to develop an experimental system based on the TCA architecture as a proprietary interconnection network connecting accelerators beyond the nodes. In the present paper, we describe the TCA architecture and the design and implementation of PEACH2 for realizing the TCA architecture. We also evaluate the functionality and the basic performance of the PEACH2 chip, and the results demonstrate that the PEACH2 chip has sufficient maximum performance with 93% of the theoretical peak performance and a latency between adjacent nodes of approximately 0.8μsec.
  • Keywords
    graphics processing units; multiprocessor interconnection networks; parallel architectures; performance evaluation; peripheral interfaces; CPU memory; Center for Computational Sciences; HA-PACS base cluster system; HA-PACS project; PCI express adaptive communication hub version 2; PEACH2 chip performance; PEACH2 design; PEACH2 implementation; TCA architecture; University of Tsukuba; commodity GPU cluster; communication latency; communication latency minimization; communication latency reduction; functionality evaluation; heterogeneous clusters; high performance computing systems; interconnection network; internode communication; memory copies; performance degradation; tightly coupled accelerator architecture; Field programmable gate arrays; Graphics processing units; Memory management; Peer-to-peer computing; Ports (Computers); Routing; Accelerator Computing; CUDA; GPGPU; GPU Direct; Interconnection Network; PCI Express; Remote DMA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2013 IEEE 27th International
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    978-0-7695-4979-8
  • Type

    conf

  • DOI
    10.1109/IPDPSW.2013.226
  • Filename
    6650988