Achieving energy efficiency by HW/SW co-design

S. Borkar
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引用次数: 5

Abstract

Summary form only given. Compute performance increased by orders of magnitude in the last few decades, made possible by continued technology scaling, increasing frequency, providing integration capacity to realize novel architectures, and reducing energy to keep power dissipation within limit. The technology treadmill will continue, and one would expect to reach Exascale level performance this decade; however, it's the same Physics that helped you in the past will now pose some barriers-Business as usual will not be an option. The energy and power will pose as a major challenge- an Exascale machine would consume in excess of a Giga-watt! Memory & communication bandwidth with conventional technology would be prohibitive. Orders of magnitude increased parallelism, let alone extreme parallelism due to energy saving techniques, would increase unreliability. And programming system will be posed with even severe challenge of harnessing the performance with concurrency. We will discuss potential solutions in all disciplines, such as circuit design, system architecture, system software, programming system, and resiliency to pave the road towards Exascale performance.
通过硬件/软件协同设计实现能源效率
仅提供摘要形式。在过去的几十年里,计算性能提高了几个数量级,这得益于持续的技术扩展、频率提高、提供集成能力以实现新型架构,以及降低能耗以将功率耗散控制在极限范围内。技术发展的脚步仍将继续,人们有望在本十年内达到 Exascale 级别的性能;然而,过去曾帮助过你的物理学现在也将构成一些障碍--一切照旧将不再是一种选择。能源和电力将是一大挑战--一台超大规模机器的能耗将超过千兆瓦!传统技术的内存和通信带宽将令人望而却步。数量级的并行性提高,更不用说节能技术带来的极端并行性,会增加不稳定性。编程系统在利用并发性能方面将面临更加严峻的挑战。我们将讨论电路设计、系统架构、系统软件、编程系统和弹性等所有学科的潜在解决方案,为实现超大规模性能铺平道路。
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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