事务性内存:综述

2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS) Pub Date : 2020-03-01 DOI:10.1109/ICACCS48705.2020.9074423

Tabassum, Meenu

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引用次数: 2

摘要

为了简化并行编程，软件事务性内存是提高多核可扩展性的一种重要方法。Python使用系统时钟而不是全局计数器。python中的STM处理锁定(如python中)数据结构的并行线程之间的共享数据。Haskell为对可变和全局共享对象的操作提供线程本地日志记录。在这篇综述文章中，我们讨论了具有版本管理和同步的基本方法的STM，称为HTM, STM和HyTM。本文还讨论了STM以前的版本工作和面临的挑战。

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Transactional Memory: A Review

For simplifying parallel programming, Software Transactional Memory is an important method which improves scalability in multiple cores. Python uses a system clock instead of a global counter. STM in python deals with shared data among parallel threads of locked(as in python) data structure. A Haskell has thread-local journaling for operations on mutable and globally shared objects. In this review paper, we have discussed STM having basic approaches called HTM, STM, and HyTM with version management and synchronization. This paper also discusses previous version work and challenges of STM.

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2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS)

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