事务性数据结构库

A. Spiegelman, Guy Golan-Gueta, I. Keidar
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引用次数: 51

摘要

我们将事务引入并发数据结构库;这样的事务可以用来确保数据结构操作序列的原子性。通过关注对一组定义良好的数据结构操作的事务性访问,我们在事务的易编程性和定制数据结构的效率之间取得了平衡。我们通过设计和实现一个库来举例说明这个概念,该库支持任意数量的映射、集合(作为跳跃列表实现)和队列上的事务。我们的库提供了高效和可扩展的事务,比最先进的事务内存工具包快一个数量级。此外,我们的方法将独立的数据结构操作(如put和enqueue)视为一等公民,并允许它们以原始数据结构库的速度在几乎没有开销的情况下执行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transactional data structure libraries
We introduce transactions into libraries of concurrent data structures; such transactions can be used to ensure atomicity of sequences of data structure operations. By focusing on transactional access to a well-defined set of data structure operations, we strike a balance between the ease-of-programming of transactions and the efficiency of custom-tailored data structures. We exemplify this concept by designing and implementing a library supporting transactions on any number of maps, sets (implemented as skiplists), and queues. Our library offers efficient and scalable transactions, which are an order of magnitude faster than state-of-the-art transactional memory toolkits. Moreover, our approach treats stand-alone data structure operations (like put and enqueue) as first class citizens, and allows them to execute with virtually no overhead, at the speed of the original data structure library.
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