A Complexity-Effective Approach to ALU Bandwidth Enhancement for Instruction-Level Temporal Redundancy

Author:

Parashar Angshuman1,Gurumurthi Sudhanva1,Sivasubramaniam Anand1

Affiliation:

1. The Pennsylvania State University

Abstract

Previous proposals for implementing instruction-level temporalredundancy in out-of-order cores have reported a performancedegradation of upto 45% in certain applications compared to anexecution which does not have any temporal redundancy. An importantcontributor to this problem is the insufficient number ofALUs for handling the amplified load injected into the core. At thesame time, increasing the number of ALUs can increase the complexityof the issue logic, which has been pointed out to be oneof the most timing critical components of the processor. This paperproposes a novel extension of a prior idea on instruction reuseto ease ALU bandwidth requirements in a complexity-effective wayby exploiting certain interesting properties of a dual (temporallyredundant) instruction stream. We present microarchitectural extensionsnecessary for implementing an instruction reuse buffer(IRB) and integrating this with the issue logic of a dual instructionstream superscalar core, and conduct extensive evaluationsto demonstrate how well it can alleviate the ALU bandwidth problem.We show that on the average we can gain back nearly 50%of the IPC loss that occurred due to ALU bandwidth limitationsfor an instruction-level temporally redundant superscalar execution,and 23% of the overall IPC loss.

Publisher

Association for Computing Machinery (ACM)

Cited by 4 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. A survey of checker architectures;ACM Computing Surveys;2013-08

2. A Fault-Tolerant Architecture with Error Correcting Code for the Instruction-Level Temporal Redundancy;IEICE Transactions on Information and Systems;2012

3. Oware: Operand width Aware Redundant Execution for Whole-Processor Error Detection*;Intelligent Automation & Soft Computing;2011-01

4. Exploiting selective placement for low-cost memory protection;ACM Transactions on Architecture and Code Optimization;2008-11

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