Hardware Specialization for Distributed Computing

G. Alonso
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引用次数: 0

Abstract

Several trends in the IT industry are driving an increasing specialization of the hardware layers. On the one hand, demanding workloads, large data volumes, diversity in data types, etc. are all factors contributing to make general purpose computing too inefficient. On the other hand, cloud computing and its economies of scale allow vendors to invest on specialized hardware for particular tasks that otherwise would be too expensive or consume resources needed elsewhere. In this talk I will discuss the shift towards hardware acceleration and show with several examples why specialized systems are here to stay and are likely to dominate the computer landscape for years to come. I will also discuss Enzian, an open research platform developed at ETH to enable the exploration of hardware acceleration and present some preliminary results achieved with it. Biography: Gustavo Alonso is a professor in the Department of Computer Science of ETH Zurich where he is a member of the Systems Group. His research interests include data management, databases, distributed systems, cloud computing, and hardware acceleration. Gustavo is an ACM Fellow and an IEEE Fellow as well as a Distinguished Alumnus of the Department of Computer Science of UC Santa Barbara.
分布式计算硬件专门化
IT行业的几个趋势正在推动硬件层的日益专业化。一方面,高要求的工作负载、大数据量、数据类型的多样性等都是导致通用计算效率太低的因素。另一方面,云计算及其规模经济允许供应商为特定任务投资专门的硬件,否则这些任务将过于昂贵或消耗其他地方所需的资源。在这次演讲中,我将讨论向硬件加速的转变,并通过几个例子说明为什么专用系统将继续存在,并可能在未来几年主导计算机领域。我还将讨论ETH开发的开放式研究平台Enzian,用于探索硬件加速,并介绍一些初步成果。简介:Gustavo Alonso是苏黎世联邦理工学院计算机科学系的教授,他是该校系统组的成员。他的研究兴趣包括数据管理、数据库、分布式系统、云计算和硬件加速。Gustavo是ACM Fellow和IEEE Fellow,也是加州大学圣巴巴拉分校计算机科学系的杰出校友。
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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