SOFRITAS

Q1 Computer Science ACM Sigplan Notices Pub Date : 2018-11-30 DOI:10.1145/3296957.3173192
Christian DeLozier, Ariel Eizenberg, Brandon Lucia, Joseph Devietti
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引用次数: 1

Abstract

Correctly synchronizing multithreaded programs is challenging and errors can lead to program failures such as atomicity violations. Existing strong memory consistency models rule out some possible failures, but are limited by depending on programmer-defined locking code. We present the new Ordering-Free Region (OFR) serializability consistency model that ensures atomicity for OFRs, which are spans of dynamic instructions between consecutive ordering constructs (e.g., barriers), without breaking atomicity at lock operations. Our platform, Serializable Ordering-Free Regions for Increasing Thread Atomicity Scalably (SOFRITAS), ensures a C/C++ program's execution is equivalent to a serialization of OFRs by default. We build two systems that realize the SOFRITAS idea: a concurrency bug finding tool for testing called SOFRITEST, and a production runtime system called SOPRO. SOFRITEST uses OFRs to find concurrency bugs, including a multi-critical-section atomicity violation in memcached that weaker consistency models will miss. If OFR's are too coarse-grained, SOFRITEST suggests refinement annotations automatically. Our software-only SOPRO implementation has high performance, scales well with increased parallelism, and prevents failures despite bugs in locking code. SOFRITAS has an average overhead of just 1.59x on a single-threaded execution and 1.51x on sixteen threads, despite pthreads' much weaker memory model.
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SOFRITAS
正确地同步多线程程序具有挑战性,错误可能导致程序失败,例如原子性违反。现有的强内存一致性模型排除了一些可能的故障,但由于依赖于程序员定义的锁定代码而受到限制。我们提出了新的无序区(OFR)序列化一致性模型,该模型保证了OFR的原子性,OFR是连续有序结构(例如,屏障)之间的动态指令的跨度,而不会破坏锁操作的原子性。我们的平台,用于可伸缩性地增加线程原子性的可序列化无顺序区域(SOFRITAS),确保C/ c++程序的执行在默认情况下等同于ofr的序列化。我们构建了两个实现SOFRITAS思想的系统:一个用于测试的并发错误查找工具称为SOFRITEST,以及一个称为SOPRO的生产运行时系统。SOFRITEST使用OFR来发现并发性错误,包括memcached中较弱的一致性模型无法发现的多临界段原子性冲突。如果OFR过于粗粒度,SOFRITEST建议自动改进注释。我们的纯软件SOPRO实现具有高性能,随着并行性的增加而扩展良好,并且可以防止锁定代码中的错误导致的故障。SOFRITAS在单线程执行时的平均开销仅为1.59倍,在16线程执行时为1.51倍,尽管pthreads的内存模型要弱得多。
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来源期刊
ACM Sigplan Notices
ACM Sigplan Notices 工程技术-计算机:软件工程
CiteScore
4.90
自引率
0.00%
发文量
0
审稿时长
2-4 weeks
期刊介绍: The ACM Special Interest Group on Programming Languages explores programming language concepts and tools, focusing on design, implementation, practice, and theory. Its members are programming language developers, educators, implementers, researchers, theoreticians, and users. SIGPLAN sponsors several major annual conferences, including the Symposium on Principles of Programming Languages (POPL), the Symposium on Principles and Practice of Parallel Programming (PPoPP), the Conference on Programming Language Design and Implementation (PLDI), the International Conference on Functional Programming (ICFP), the International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), as well as more than a dozen other events of either smaller size or in-cooperation with other SIGs. The monthly "ACM SIGPLAN Notices" publishes proceedings of selected sponsored events and an annual report on SIGPLAN activities. Members receive discounts on conference registrations and free access to ACM SIGPLAN publications in the ACM Digital Library. SIGPLAN recognizes significant research and service contributions of individuals with a variety of awards, supports current members through the Professional Activities Committee, and encourages future programming language enthusiasts with frequent Programming Languages Mentoring Workshops (PLMW).
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