Reconciling Hardware Transactional Memory and Persistent Programming with Buffered Durability

Hardware Transactional Memory (HTM) simplifies concurrent programming and can accelerate multithreaded execution through lock elision. Non-Volatile Memory (NVM) combines the speed and byte addressability of DRAM with the durability of storage, enabling the construction of high-performance, persistent data structures. Unfortunately, the write-back instructions typically needed to ensure post-crash consistency in NVM cause HTM transactions to abort, precluding the straightforward combination of HTM and persistent data structures. The problem goes away on machines with persistent caches, but these require special battery-backed circuitry and are far from commonplace.

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Published
2025-07-16
DOI
https://doi.org/10.1145/3694906.3743321
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
0.00

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article

Reconciling Hardware Transactional Memory and Persistent Programming with Buffered Durability

Zhiqiang Su, Mingzhe Du, Michael L. Scott
Distributed systems and fault tolerance
article

Reconciling Hardware Transactional Memory and Persistent Programming with Buffered Durability

Zhiqiang Su, Mingzhe Du, Michael L. Scott
article en

Abstract

Hardware Transactional Memory (HTM) simplifies concurrent programming and can accelerate multithreaded execution through lock elision. Non-Volatile Memory (NVM) combines the speed and byte addressability of DRAM with the durability of storage, enabling the construction of high-performance, persistent data structures. Unfortunately, the write-back instructions typically needed to ensure post-crash consistency in NVM cause HTM transactions to abort, precluding the straightforward combination of HTM and persistent data structures. The problem goes away on machines with persistent caches, but these require special battery-backed circuitry and are far from commonplace.

University of Rochester (US)
National Science Foundation
Openalex Percentile: Top 81%
Distributed systems and fault tolerance
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