Experiences Supporting DPC++ in AMReX

Sravani Konda, Dunni Aribuki, Weiqun Zhang, K. Gott, C. Lishka
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Abstract

AMReX is a software framework for massively parallel, block-structured adaptive mesh refinement (AMR) applications. AMReX is developed as part of the United States Department Of Energy’s Exascale Computing Project (ECP). Besides AMR capabilities, AMReX also provides a parallel programming framework for numerous applications including six ECP projects, and it implements several backends for CPU-GPU heterogeneous computing. In this talk, we present our experiences supporting DPC++, a language based on the SYCL specification as a backend for AMReX. We will demonstrate how AMReX provides an abstraction layer for its users so that they can write performance portable code for a variety of heterogeneous platforms. We will discuss key DPC++ features that allow AMReX to implement the abstractions and our contributions to the oneAPI specification and Intel’s implementation. We will also highlight some features missing in SYCL/DPC++ that limits its efficiency and our future plans.
在AMReX中支持dpc++的经验
AMReX是一个用于大规模并行、块结构自适应网格细化(AMR)应用的软件框架。AMReX是作为美国能源部百亿亿次计算项目(ECP)的一部分而开发的。除了AMR功能,AMReX还为包括6个ECP项目在内的众多应用程序提供了并行编程框架,并实现了多个CPU-GPU异构计算的后端。在这次演讲中,我们将介绍我们支持dpc++的经验,dpc++是一种基于SYCL规范的语言,作为AMReX的后端。我们将演示AMReX如何为其用户提供抽象层,以便他们可以为各种异构平台编写性能可移植的代码。我们将讨论允许AMReX实现抽象的关键dpc++特性,以及我们对oneAPI规范和英特尔实现的贡献。我们还将重点介绍SYCL/ dpc++中缺少的一些限制其效率和我们未来计划的特性。
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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