一个统一平台的设计与实现,以支持多代GPU架构的高性能流计算

S. Yamagiwa, Masahiro Arai, K. Wada
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引用次数: 1

摘要

基于gpu的计算已经成为高性能计算的热门领域之一。该字段称为GPGPU。本文的重点是设计和实现一个统一的GPGPU应用程序,该应用程序针对传统和最新的GPU架构进行了优化。作为这种GPGPU应用的一个典型例子,本文将讨论统一实现的Caravel平台。特别是流模型的执行机制将参考最新的GPU架构。为了验证设计和实现,本文将评估体系结构之间的兼容性,并测试性能度量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Implementation of a Uniform Platform to Support Multigenerational GPU Architectures for High Performance Stream-Based Computing
GPU-based computing has become one of the popular high performance computing fields. The field is called GPGPU. This paper is focused on design and implementation of a uniform GPGPU application that is optimized for both the legacy and the recent GPU architectures. As a typical example of such the GPGPU application, this paper will discuss the uniform implementation of the Caravel a platform. Especially the flow-model execution mechanism will be considered referring the recent GPU architectures. To verify the design and the implementation, this paper will evaluate the compatibility among the architectures, and also test measurements of performance.
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