IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-68049-7_3.html
   My bibliography  Save this book chapter

Speeding Up Vector Engine Offloading with AVEO

In: Sustained Simulation Performance 2019 and 2020

Author

Listed:
  • Erich Focht

    (NEC Deutschland GmbH)

Abstract

Vector Engine Offloading (VEO) was the first implementation of an API for programming the SX-Aurora Tsubasa Vector Engine (VE) like an accelerator, i.e. writing programs for the host CPU which call certain offloading kernels running on the VE. The native VE programming model using OpenMP and MPI still dominates in applications, but CUDA, HIP, OpenMP Target, OpenACC, OpenCL find more and more traction. This report introduces AVEO, an alternative VE offloading implementation with VEO compatible API. It was redesigned to solve a set of problems in VEO and improve call latency as well as memory transfer bandwidth. The results show latency improvements of up to factor 18 and bandwidth increases by factor 8–10 for small buffers and 15–20% for very large buffers. We describe implementation details and remote memory access mechanisms as well as API extensions. This development should contribute to making accelerator-style hybrid programming more attractive on the vector engine, ease porting of hybrid programs but also developing more sophisticated hybrid programming frameworks.

Suggested Citation

  • Erich Focht, 2021. "Speeding Up Vector Engine Offloading with AVEO," Springer Books, in: Michael M. Resch & Manuela Wossough & Wolfgang Bez & Erich Focht & Hiroaki Kobayashi (ed.), Sustained Simulation Performance 2019 and 2020, pages 35-47, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-68049-7_3
    DOI: 10.1007/978-3-030-68049-7_3
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-030-68049-7_3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.