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

Conference · Thu Dec 01 04:00:00 EST 2022

DOI:https://doi.org/10.1109/HiPC56025.2022.00042· OSTI ID:1973340

Miniskar, Narasinga Rao ^[1]; Monil, M. A. H. ^[1]; Valero Lara, Pedro ^[1]; Liu, Frank ^[1]; Vetter, Jeffrey ^[1]

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1. ORNL

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.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1973340
• Country of Publication: United States
• Language: English