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

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

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-...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Information
Subjects:
performance
portability
productivity
GPUs
dense and sparse data
fine-grained parallelism
Online Access:https://www.mdpi.com/2078-2489/15/11/673
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