Dynamic enforcement of determinism in a parallel scripting language

Author:

Lu Li1,Ji Weixing2,Scott Michael L.1

Affiliation:

1. University of Rochester

2. Beijing Institute of Technology

Abstract

Determinism is an appealing property for parallel programs, as it simplifies understanding, reasoning and debugging. It is particularly appealing in dynamic (scripting) languages, where ease of programming is a dominant design goal. Some existing parallel languages use the type system to enforce determinism statically, but this is not generally practical for dynamic languages. In this paper, we describe how determinism can be obtained---and dynamically enforced/verified---for appropriate extensions to a parallel scripting language. Specifically, we introduce the constructs of Deterministic Parallel Ruby (DPR), together with a run-time system (Tardis) that verifies properties required for determinism, including correct usage of reductions and commutative operators, and the mutual independence (data-race freedom) of concurrent tasks. Experimental results confirm that DPR can provide scalable performance on multicore machines and that the overhead of Tardis is low enough for practical testing. In particular, Tardis significantly outperforms alternative data-race detectors with comparable functionality. We conclude with a discussion of future directions in the dynamic enforcement of determinism.

Funder

China Scholarship Council

National Science Foundation

Division of Computer and Network Systems

Division of Computing and Communication Foundations

National Natural Science Foundation of China

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 3 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. Model-checking task-parallel programs for data-race;Innovations in Systems and Software Engineering;2019-05-18

2. Optimized Sound and Complete Data Race Detection in Structured Parallel Programs;Languages and Compilers for Parallel Computing;2019

3. 10 Years of research on debugging concurrent and multicore software: a systematic mapping study;Software Quality Journal;2016-01-21

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