一句话：提出推测式日志与推测式持久内存事务 SpecPMT，跳过大部分内存栅栏并提前记录数据值，把持久事务开销降至 10%。
崩溃一致性开销长期阻碍字节可寻址持久内存在实践中被采用：即使不断改进，持久事务仍带来 5.6 倍的性能下降，使持久内存成本过高。本文提出推测式日志（speculative logging），通过提前记录数据值来规避大部分内存栅栏，并降低数据持久化的开销。该技术支撑了一种新的持久事务模型——推测式持久内存事务（SpecPMT）。评估结果显示，SpecPMT 将持久事务的执行时间开销大幅降低到仅 10%，相比原先 5.6 倍的减速有明显改善，从而使持久内存在实际场景中更具可行性。
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%.
@inproceedings{paperbot10041,
title = {SpecPMT: Speculative Logging for Resolving Crash Consistency Overhead of Persistent Memory},
author = {Chencheng Ye and Yuanchao Xu and Xipeng Shen and Yan Sha and Xiaofei Liao and Hai Jin and Yan Solihin},
booktitle = {ASPLOS},
year = {2023},
doi = {10.1145/3575693.3575696}
}