AutoPersist: An Easy-To-Use Java NVM Framework Based on Reachability
Byte-addressable, non-volatile memory (NVM) is emerging as a revolutionary memory technology that provides persistency, near-DRAM performance, and scalable capacity. To facilitate its use, many NVM programming models have been proposed. However, most models require programmers to explicitly specify the data structures or objects that should reside in NVM. Such requirement increases the burden on programmers, complicates software development, and introduces opportunities for correctness and performance bugs.
We believe that requiring programmers to identify the data structures that should reside in NVM is untenable. Instead, programmers should only be required to identify durable roots - the entry points to the persistent data structures at recovery time. The NVM programming framework should then automatically ensure that all the data structures reachable from these roots are in NVM, and stores to these data structures are persistently completed in an intuitive order.
To this end, we present a new NVM programming framework, named AutoPersist, that only requires programmers to identify durable roots. AutoPersist then persists all the data structures that can be reached from the durable roots in an automated and transparent manner. We implement AutoPersist as a thread-safe extension to the Java language and perform experiments with a variety of applications running on Intel Optane DC persistent memory. We demonstrate that AutoPersist requires minimal code modifications, and significantly outperforms expert-marked Java NVM applications.
Mon 24 JunDisplayed time zone: Tijuana, Baja California change
16:00 - 17:00 | |||
16:00 20mTalk | AutoPersist: An Easy-To-Use Java NVM Framework Based on Reachability PLDI Research Papers Thomas Shull University of Illinois at Urbana-Champaign, Jian Huang University of Illinois at Urbana-Champaign, Josep Torrellas University of Illinois at Urbana-Champaign Media Attached | ||
16:20 20mTalk | Mesh: Compacting Memory Management for C/C++ Applications PLDI Research Papers Bobby Powers University of Massachusetts, Amherst, David Tench University of Massachusetts at Amherst, USA, Emery D. Berger University of Massachusetts, Amherst, Andrew McGregor Pre-print Media Attached | ||
16:40 20mTalk | Panthera: Holistic Memory Management for Big Data Processing over Hybrid Memories PLDI Research Papers Chenxi Wang UCLA, Huimin Cui Institute of Computing Technology, Chinese Academy of Sciences, Ting Cao Microsoft Research, John Zigman University of Sydney, Australia, Haris Volos , Onur Mutlu ETH Zurich, Fang Lv Institute of Computing Technology, Chinese Academy of Sciences, Xiaobing Feng ICT CAS, Guoqing Harry Xu UCLA Pre-print Media Attached |