用于高通量科学计算的具有远程无线链路的片上网络

Turbo Majumder, P. Pande, A. Kalyanaraman
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引用次数: 2

摘要

科学计算的一些新兴应用领域需要高计算吞吐量来实现万亿级或更高的性能。在一些高端服务器上托管科学计算工具的专用中心可能依赖于硬件加速器协处理器,这些协处理器包含多个通过片上网络相互连接的轻量级定制核心。虽然已经在加速单个应用程序的背景下研究了片上网络(NoC)驱动的平台,但这项工作研究了基于NoC的平台在多个并发执行作业存在时提高总体计算吞吐量的功效。使用远程链路已被证明可以减小网络直径,我们将这一特性与不同的资源分配策略结合使用,以提供高吞吐量。我们使用计算生物学应用程序套件作为示范研究的实验表明,使用远程无线捷径与适当的资源分配策略相结合,每秒可提供超过1011次操作的计算吞吐量,每次操作消耗约0.5 nJ。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network-on-Chip with Long-Range Wireless Links for High-Throughput Scientific Computation
Several emerging application domains in scientific computing demand high computation throughputs to achieve terascale or higher performance. Dedicated centers hosting scientific computing tools on a few high-end servers could rely on hardware accelerator co-processors that contain multiple lightweight custom cores interconnected through an on-chip network. While network-on-chip (NoC) driven platforms have been studied in the context of accelerating individual applications, this work studies the efficacy of NoC-based platforms to enhance overall computation throughput in the presence of several concurrently executing jobs. Use of long-range links has been shown to reduce network diameter and we use this property in conjunction with different resource allocation strategies to deliver high throughput. Our experiments using a computational biology application suite as a demonstration study show that the use of long-range wireless shortcuts coupled with the appropriate resource allocation strategy delivers computation throughput over 1011 operations per second, consuming ~0.5 nJ per operation.
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