Grace

Author:

Berger Emery D.1,Yang Ting1,Liu Tongping1,Novark Gene1

Affiliation:

1. University of Massachusetts, Amherst, Amherst, MA, USA

Abstract

The shift from single to multiple core architectures means that programmers must write concurrent, multithreaded programs in order to increase application performance. Unfortunately, multithreaded applications are susceptible to numerous errors, including deadlocks, race conditions, atomicity violations, and order violations. These errors are notoriously difficult for programmers to debug. This paper presents Grace, a software-only runtime system that eliminates concurrency errors for a class of multithreaded programs: those based on fork-join parallelism. By turning threads into processes, leveraging virtual memory protection, and imposing a sequential commit protocol, Grace provides programmers with the appearance of deterministic, sequential execution, while taking advantage of available processing cores to run code concurrently and efficiently. Experimental results demonstrate Grace's effectiveness: with modest code changes across a suite of computationally-intensive benchmarks (1-16 lines), Grace can achieve high scalability and performance while preventing concurrency errors.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 74 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 Comprehensive Study of Systems Challenges in Visual Simultaneous Localization and Mapping Systems;ACM Transactions on Embedded Computing Systems;2024-08-03

2. Research on Parallel Reading and Drawing Techniques for Chemical Mechanical Polishing Simulation Data Based on Multi-Thread;Electronics;2024-02-09

3. Typed Design Patterns for the Functional Era;Proceedings of the 1st ACM SIGPLAN International Workshop on Functional Software Architecture;2023-08-30

4. Efficient Parallel Functional Programming with Effects;Proceedings of the ACM on Programming Languages;2023-06-06

5. Understanding and Reaching the Performance Limit of Schedule Tuning on Stable Synchronization Determinism;Proceedings of the International Conference on Parallel Architectures and Compilation Techniques;2022-10-08

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