Computational Co-design of a Multiscale Plasma Application: A Process and Initial Results

J. Payne, D. Knoll, A. McPherson, W. Taitano, L. Chacón, Guangye Chen, S. Pakin
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引用次数: 1

Abstract

As computer architectures become increasingly heterogeneous the need for algorithms and applications that can exploit these new architectures grows more pressing. This paper demonstrates that co-designing a multi-architecture, multi-scale, highly optimized framework with its associated plasma-physics application can provide both portability across CPUs and accelerators and high performance. Our framework utilizes multiple abstraction layers in order to maximize code reuse between architectures while providing low-level abstractions to incorporate architecture-specific optimizations such as vectorization or hardware fused multiply-add. We describe a co-design process used to enable a plasma physics application to scale well to large systems while also improving on both the accuracy and speed of the simulations. Optimized multi-core results will be presented to demonstrate ability to isolate large amounts of computational work with minimal communication.
多尺度等离子体应用的计算协同设计:过程和初步结果
随着计算机体系结构变得越来越异构,对能够利用这些新体系结构的算法和应用程序的需求变得更加迫切。本文论证了协同设计一个多架构、多尺度、高度优化的框架及其相关的等离子体物理应用程序可以提供跨cpu和加速器的可移植性和高性能。我们的框架利用多个抽象层来最大限度地提高体系结构之间的代码重用,同时提供低级抽象来结合特定于体系结构的优化,如向量化或硬件融合乘加。我们描述了一个协同设计过程,用于使等离子体物理应用程序能够很好地扩展到大型系统,同时也提高了模拟的准确性和速度。优化的多核结果将展示以最小的通信隔离大量计算工作的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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