Automatic fine-grained locking generation for shared data structures

Haiyang Liu, Tingting Hu, Z. Qiu
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Abstract

Correct mutual-exclusion is one of the key challenges in concurrent programming. Although the fine-grained locking schema can be more efficient compared with the coarse-grained techniques, it is tough to use, as well as error-prone. Here we present a static approach, based on program analysis, to automatically add fine-grained locking primitives to data structures implemented as classes. For tree-like structures, the modified class definitions are guaranteed to be thread-safe. Experiments show that the approach can successfully deal with programs which are challenging to be handled manually, and it works efficiently.
为共享数据结构自动生成细粒度锁
正确的互斥是并发编程的关键挑战之一。尽管与粗粒度技术相比,细粒度锁定模式可能更有效,但它很难使用,而且容易出错。在这里,我们提出了一种基于程序分析的静态方法,自动将细粒度锁定原语添加到作为类实现的数据结构中。对于树状结构,修改后的类定义保证是线程安全的。实验表明,该方法能够成功地处理人工难以处理的程序,并具有较高的工作效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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