Federation

Author:

Boyer Michael1,Tarjan David1,Skadron Kevin1

Affiliation:

1. University of Virginia, Charlottesville, VA

Abstract

Manycore architectures designed for parallel workloads are likely to use simple, highly multithreaded, in-order cores. This maximizes throughput, but only with enough threads to keep hardware utilized. For applications or phases with more limited parallelism, we describe creating an out-of-order processor on-the-fly, by federating two neighboring in-order cores. We reuse the large register file in the multithreaded cores to implement some out-of-order structures and reengineer other large, associative structures into simpler lookup tables. The resulting federated core provides twice the single-thread performance of the underlying in-order core, allowing the architecture to efficiently support a wider range of parallelism.

Funder

Division of Information and Intelligent Systems

Division of Computer and Network Systems

National Science Foundation

Semiconductor Research Corporation

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Information Systems,Software

Reference52 articles.

1. AMD. 2007. ATI Radeon HD 2900 technology: GPU specifications. http://www.amd.com/us/products/desktop/graphics/atiradeon-hd-2000/hd-2900/Pages/atiradeon-hd-2900-specifications. aspx AMD. 2007. ATI Radeon HD 2900 technology: GPU specifications. http://www.amd.com/us/products/desktop/graphics/atiradeon-hd-2000/hd-2900/Pages/atiradeon-hd-2900-specifications. aspx

2. AMD. 2008. The industry-changing impact of accelerated computing. http://sites.amd.com/us/Documents/AMD_fusion_Whitepaper.pdf. AMD. 2008. The industry-changing impact of accelerated computing. http://sites.amd.com/us/Documents/AMD_fusion_Whitepaper.pdf.

3. Asanovic K. Bodik R. Catanzaro B. C. Gebis J. J. Husbands P. Keutzer K. Patterson D. A. Plishker W. L. Shalf J. Williams S. W. and Yelick K. A. 2006. The landscape of parallel computing research: A view from Berkeley. Tech. rep. UCB/EECS-2006-183 EECS Department University of California Berkeley. Asanovic K. Bodik R. Catanzaro B. C. Gebis J. J. Husbands P. Keutzer K. Patterson D. A. Plishker W. L. Shalf J. Williams S. W. and Yelick K. A. 2006. The landscape of parallel computing research: A view from Berkeley. Tech. rep. UCB/EECS-2006-183 EECS Department University of California Berkeley.

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Simultaneous and Speculative Thread Migration for Improving Energy Efficiency of Heterogeneous Core Architectures;IEEE Transactions on Computers;2018-04-01

2. Dynamic power management techniques in multi-core architectures: A survey study;Ain Shams Engineering Journal;2017-09

3. FlexCore: A Reconfigurable Processor Supporting Flexible, Dynamic Morphing;2015 IEEE 22nd International Conference on High Performance Computing (HiPC);2015-12

4. Revisiting Clustered Microarchitecture for Future Superscalar Cores;ACM Transactions on Architecture and Code Optimization;2015-10-06

5. Exploiting Tightly-Coupled Cores;Journal of Signal Processing Systems;2014-08-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3