Repository logo

NV-PhTM: An efficient phase-based transactional system for non-volatile memory

Loading...
Thumbnail Image

Advisor

Coadvisor

Graduate program

Undergraduate course

Journal Title

Journal ISSN

Volume Title

Publisher

Type

Work presented at event

Access right

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.

Description

Keywords

Persistent memory, Transactional memory, Transactions

Language

English

Citation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12247 LNCS, p. 477-492.

Related itens

Collections

Units

Departments

Undergraduate courses

Graduate programs

Other forms of access