IRIS-BLAS: Towards a Performance Portable and Heterogeneous BLAS Library

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6 Scopus citations

Abstract

This paper presents IRIS-BLAS, a novel heterogeneous and performance portable BLAS library. IRIS-BLAS is built on top of the IRIS runtime and multiple vendor and open-source BLAS libraries. It can transparently use all the architectures/devices available in a heterogeneous system, using the appropriate BLAS library based on the task mapping at run time. Thus, IRIS-BLAS is portable across a broad spectrum of architectures and BLAS libraries, alleviating the worry of application developers about modifying the application source code. Even though the emphasis is on portability, IRIS-BLAS provides competitive or even better performance than other state-of-the-art references. Moreover, IRIS-BLAS offers new features such as efficiently using extremely heterogeneous systems composed of multiple GPUs from different hardware vendors.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics, HiPC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages256-261
Number of pages6
ISBN (Electronic)9781665494236
DOIs
StatePublished - 2022
Event29th Annual IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2022 - Bangalore, India
Duration: Dec 18 2022Dec 21 2022

Publication series

NameProceedings - 2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics, HiPC 2022

Conference

Conference29th Annual IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2022
Country/TerritoryIndia
CityBangalore
Period12/18/2212/21/22

Funding

Notice: This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725with the U.S. Department of Energy. The publisher, by accepting the article for publication, acknowledgesthat the U.S. Government retains a non-exclusive, paid up, irrevocable, world-wide license to

Keywords

  • BLAS
  • Heterogeneity
  • IRIS
  • Performance Portable
  • Tasking

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