SpecPMT: Speculative Logging for Resolving Crash Consistency Overhead of Persistent Memory
SpecPMT: Speculative Logging for Resolving Crash Consistency Overhead of Persistent Memory
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DOI：
10.1145/3575693.3575696
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发表时间：
2023-01
期刊：
影响因子：
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通讯作者：
Chencheng Ye;Yuanchao Xu;Xipeng Shen;Yan Sha;Xiaofei Liao;Hai Jin;Yan Solihin
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文献类型：
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作者：
Chencheng Ye;Yuanchao Xu;Xipeng Shen;Yan Sha;Xiaofei Liao;Hai Jin;Yan Solihin
崩溃的一致性开销是在实践中采用字节磨牙持续记忆的长期障碍。尽管取得了持续的进展，但碰撞一致性的持续交易仍会导致5.6倍放缓，这使得在实际环境中持续的内存昂贵。本文介绍了投机日志记录，这是一种新方法，它可以预示大多数内存围栏，并通过尽早记录数据值来减少数据持久性开销。该技术可以实现一种新型的持久交易模型，投机持续的内存交易（SPECPMT）。我们的评估表明，SPECPMT将持久交易的执行时间开销大大减少到仅10％。
Crash consistency overhead is a long-standing barrier to the adoption of byte-addressable persistent memory in practice. Despite continuous progress, persistent transactions for crash consistency still incur a 5.6X slowdown, making persistent memory prohibitively costly in practical settings. This paper introduces speculative logging, a new method that forgoes most memory fences and reduces data persistence overhead by logging data values early. This technique enables a novel persistent transaction model, speculatively persistent memory transactions (SpecPMT). Our evaluation shows that SpecPMT reduces the execution time overheads of persistent transactions substantially to just 10%.