PMThreads:利用版本控制的影子副本的持久内存线程

Zhenwei Wu, Kai Lu, A. Nisbet, Wen-zhe Zhang, M. Luján
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引用次数: 25

摘要

字节可寻址非易失性内存(NVM)使得使用标准加载/存储处理器指令在内存中对持久数据执行快速访问成为可能。NVM的一些方法基于持久内存事务,并提供持久的编程范例。但是,如果不大量修改源代码,它们就不能应用于现有的多线程应用程序。持久事务通常依赖于日志记录来强制执行故障原子提交,其中包括对NVM的额外写操作和相当大的排序开销。本文提出了一种新的用户空间运行时PMThreads,它为基于锁的并行程序提供透明的故障原子性。影子DRAM页用于缓冲应用程序写入,以便在全局静态状态期间有效地传播到双副本NVM持久存储框架。在这种状态下,自动更新每个页面的工作NVM副本和崩溃一致副本,并切换它们的角色。通过拦截pthread锁获取和释放操作,以确保没有线程持有持久数据的锁,以定时间隔进入全局静态状态。在一个20核的双插座系统上运行,我们发现PMThreads在基于锁的基准测试(Phoenix、PARSEC基准测试和微基准压力测试)中大大优于最先进的Atlas、Mnemosyne和NVthreads系统。使用Memcached,我们还研究了pmthread的可伸缩性以及不同时间间隔对静态状态的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PMThreads: persistent memory threads harnessing versioned shadow copies
Byte-addressable non-volatile memory (NVM) makes it possible to perform fast in-memory accesses to persistent data using standard load/store processor instructions. Some approaches for NVM are based on durable memory transactions and provide a persistent programming paradigm. However, they cannot be applied to existing multi-threaded applications without extensive source code modifications. Durable transactions typically rely on logging to enforce failure-atomic commits that include additional writes to NVM and considerable ordering overheads. This paper presents PMThreads, a novel user-space runtime that provides transparent failure-atomicity for lock-based parallel programs. A shadow DRAM page is used to buffer application writes for efficient propagation to a dual-copy NVM persistent storage framework during a global quiescent state. In this state, the working NVM copy and the crash-consistent copy of each page are atomically updated, and their roles are switched. A global quiescent state is entered at timed intervals by intercepting pthread lock acquire and release operations to ensure that no thread holds a lock to persistent data. Running on a dual-socket system with 20 cores, we show that PMThreads substantially outperforms the state-of-the-art Atlas, Mnemosyne and NVthreads systems for lock-based benchmarks (Phoenix, PARSEC benchmarks, and microbenchmark stress tests). Using Memcached, we also investigate the scalability of PMThreads and the effect of different time intervals for the quiescent state.
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