Abstract
Non-Volatile Memory (NVM) is an emerging memory technology aimed to eliminate the gap between main memory and stable storage. Nevertheless, today’s programs will not readily benefit from NVM because crash failures may render the program in an unrecoverable and inconsistent state. In this context, durable transactions have been proposed as a mechanism to ease the adoption of NVM by simplifying the task of programming NVM systems. Existing systems employ either hardware (HW) or software (SW) transactions with different performance tradeoffs. Although SW transactions are flexible and unbounded, they may significantly hurt the performance of short-lived transactions. On the other hand, HW transactional memories provide low-overhead but are resource-constrained. In this paper we present NV-PhTM, a transactional system for NVM that delivers the best out of both HW and SW transactions by dynamically selecting the best execution mode according to the application’s characteristics. NV-PhTM is comprised of a set of heuristics to guide online phase transition while retaining persistency in case of crashes during migration. To the best of our knowledge, NV-PhTM is the first phase-based system to provide durable transactions. Experimental results with the STAMP benchmark show that the proposed heuristics are efficient in guiding phase transitions with low overhead.
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Acknowledgments
The authors would like to thank the anonymous reviewers for their insightful comments. This work was supported by FAPESP (grants 2013/08293-7, 2016/15337-9, 2018/15519-5, and 2019/10471-7), Center for Computational Engineering and Sciences (CCES), and Fundação para a Ciência e a Tecnologia (under project UIDB/50021/2020).
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Baldassin, A. et al. (2020). NV-PhTM: An Efficient Phase-Based Transactional System for Non-volatile Memory. In: Malawski, M., Rzadca, K. (eds) Euro-Par 2020: Parallel Processing. Euro-Par 2020. Lecture Notes in Computer Science(), vol 12247. Springer, Cham. https://doi.org/10.1007/978-3-030-57675-2_30
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