On a Simplified Approach to Achieve Parallel Performance and Portability Across CPU and GPU Architectures

Nathaniel Morgan; Caleb Yenusah; Adrian Diaz; Daniel Dunning; Jacob Moore; Erin Heilman; Calvin Roth; Evan Lieberman; Steven Walton; Sarah Brown; Daniel Holladay; Marko Knezevic; Gavin Whetstone; Zachary Baker; Robert Robey

doi:10.3390/info15110673

Information (Oct 2024)

On a Simplified Approach to Achieve Parallel Performance and Portability Across CPU and GPU Architectures

Nathaniel Morgan,
Caleb Yenusah,
Adrian Diaz,
Daniel Dunning,
Jacob Moore,
Erin Heilman,
Calvin Roth,
Evan Lieberman,
Steven Walton,
Sarah Brown,
Daniel Holladay,
Marko Knezevic,
Gavin Whetstone,
Zachary Baker,
Robert Robey

Affiliations

Nathaniel Morgan: Engineering Technology & Design Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Caleb Yenusah: Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Adrian Diaz: Computational Physics Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Daniel Dunning: Engineering Technology & Design Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Jacob Moore: Computational Physics Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Erin Heilman: Computational Physics Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Calvin Roth: Computational Physics Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Evan Lieberman: Computational Physics Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Steven Walton: Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Sarah Brown: Engineering Technology & Design Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Daniel Holladay: Computer, Computational & Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Marko Knezevic: Department of Mechanical Engineering, University of New Hampshire, Durham, NH 03824, USA
Gavin Whetstone: Computational Physics Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Zachary Baker: Engineering Technology & Design Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Robert Robey: Computational Physics Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA

DOI: https://doi.org/10.3390/info15110673
Journal volume & issue: Vol. 15, no. 11
p. 673

Abstract

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This paper presents software advances to easily exploit computer architectures consisting of a multi-core CPU and CPU+GPU to accelerate diverse types of high-performance computing (HPC) applications using a single code implementation. The paper describes and demonstrates the performance of the open-source C++ matrix and array (MATAR) library that uniquely offers: (1) a straightforward syntax for programming productivity, (2) usable data structures for data-oriented programming (DOP) for performance, and (3) a simple interface to the open-source C++ Kokkos library for portability and memory management across CPUs and GPUs. The portability across architectures with a single code implementation is achieved by automatically switching between diverse fine-grained parallelism backends (e.g., CUDA, HIP, OpenMP, pthreads, etc.) at compile time. The MATAR library solves many longstanding challenges associated with easily writing software that can run in parallel on any computer architecture. This work benefits projects seeking to write new C++ codes while also addressing the challenges of quickly making existing Fortran codes performant and portable over modern computer architectures with minimal syntactical changes from Fortran to C++. We demonstrate the feasibility of readily writing new C++ codes and modernizing existing codes with MATAR to be performant, parallel, and portable across diverse computer architectures.

Published in Information

ISSN: 2078-2489 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Technology (General): Industrial engineering. Management engineering: Information technology
Website: http://www.mdpi.com/journal/information/

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