Evaluation of Java for General Purpose GPU Computing

J. Docampo, Sabela Ramos, G. L. Taboada, Roberto R. Expósito, J. Touriño, R. Doallo
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引用次数: 21

Abstract

The presence of many-core units as accelerators has been increasing due to their ability to improve the performance of highly parallel workloads. General Purpose GPU(GPGPU) computing has allowed the graphical units to emerge as successful co-processors that can be employed to improve the performance of many different non-graphical applications with high parallel requirements, which make them suitable for many High Performance Computing workloads. While the main libraries developed to exploit the massive parallel capacity of GPUs are oriented to C/C++ programmers, there have been several efforts to extend this support to other languages. Among them, Java stands out for being one of the most extended languages and there are multiple projects that try to enable Java to take advantage of GPGPU computing. In this scenario, this paper presents an evaluation of the most relevant among the current solutions that exploit GPGPU computing in Java.
通用GPU计算的Java评估
多核单元作为加速器的出现越来越多,因为它们能够提高高度并行工作负载的性能。通用GPU(GPGPU)计算使图形单元成为成功的协处理器,可用于提高具有高并行要求的许多不同非图形应用程序的性能,这使得它们适合许多高性能计算工作负载。虽然为利用gpu的大量并行能力而开发的主要库是面向C/ c++程序员的,但已经有一些努力将这种支持扩展到其他语言。其中,Java作为扩展最多的语言之一脱颖而出,并且有多个项目试图使Java能够利用GPGPU计算。在这种情况下,本文给出了在Java中利用GPGPU计算的当前解决方案中最相关的评估。
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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