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State-of-the-art in Heterogeneous Computing
Scientific Programming Pub Date : 2010 , DOI: 10.3233/spr-2009-0296
Andre R. Brodtkorb, Christopher Dyken, Trond R. Hagen, Jon M. Hjelmervik, Olaf O. Storaasli

Node level heterogeneous architectures have become attractive during the last decade for several reasons: compared to traditional symmetric CPUs, they offer high peak performance and are energy and/or cost efficient. With the increase of fine-grained parallelism in high-performance computing, as well as the introduction of parallelism in workstations, there is an acute need for a good overview and understanding of these architectures. We give an overview of the state-of-the-art in heterogeneous computing, focusing on three commonly found architectures: the Cell Broadband Engine Architecture, graphics processing units (GPUs), and field programmable gate arrays (FPGAs). We present a review of hardware, available software tools, and an overview of state-of-the-art techniques and algorithms. Furthermore, we present a qualitative and quantitative comparison of the architectures, and give our view on the future of heterogeneous computing.

中文翻译:

异构计算的最新技术

在过去的十年中,节点级异构体系结构吸引了人们,原因如下:与传统的对称CPU相比,它们具有较高的峰值性能,并且具有能源和/或成本效益。随着高性能计算中细粒度并行性的增加以及工作站中并行性的引入,迫切需要对这些体系结构有一个很好的了解和理解。我们概述了异构计算的最新技术,重点介绍了三种常见的体系结构:单元宽带引擎体系结构,图形处理单元(GPU)和现场可编程门阵列(FPGA)。我们对硬件,可用的软件工具进行了概述,并对最新技术和算法进行了概述。此外,
更新日期:2020-09-25
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