Reliability Analysis for Unreliable FSM Computations

Author:

Sabet Amir Hossein Nodehi1,Qiu Junqiao1,Zhao Zhijia1,Krishnamoorthy Sriram2

Affiliation:

1. University of California, Riverside, CA

2. Pacific Northwest National Laboratory, Richland, WA

Abstract

Finite State Machines (FSMs) are fundamental in both hardware design and software development. However, the reliability of FSM computations remains poorly understood. Existing reliability analyses are mainly designed for generic computations and are unaware of the special error tolerance characteristics in FSM computations. This work introduces RelyFSM -- a state-level reliability analysis framework for FSM computations. By modeling the behaviors of unreliable FSM executions and qualitatively reasoning about the transition structures, RelyFSM can precisely capture the inherent error tolerance in FSM computations. Our evaluation with real-world FSM benchmarks confirms both the accuracy and efficiency of RelyFSM.

Funder

Department of Energy, Office of Science, Office of Advanced Scientific Computing Research

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Information Systems,Software

Reference57 articles.

1. ASPEN: A Scalable In-SRAM Architecture for Pushdown Automata

2. Radiation-induced soft errors in advanced semiconductor technologies

3. Stephen D. Brown. 2007. Fundamentals of Digital Logic with Verilog Design. Tata McGraw-Hill Education. Stephen D. Brown. 2007. Fundamentals of Digital Logic with Verilog Design. Tata McGraw-Hill Education.

4. On the efficient evaluation of relaxed queries in biological databases

Cited by 2 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. New Regular Expressions on Old Accelerators;2021 58th ACM/IEEE Design Automation Conference (DAC);2021-12-05

2. Scalable FSM parallelization via path fusion and higher-order speculation;Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems;2021-04-17

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