Mon 24 Jun 2019 16:00 - 16:20 at 229AB - Memory Management Chair(s): Erez Petrank

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.

Conference Day
Mon 24 Jun

Displayed time zone: Tijuana, Baja California change

16:00 - 17:00
Memory ManagementPLDI Research Papers at 229AB
Chair(s): Erez PetrankTechnion
16:00
20m
Talk
AutoPersist: An Easy-To-Use Java NVM Framework Based on Reachability
PLDI Research Papers
Thomas ShullUniversity of Illinois at Urbana-Champaign, Jian HuangUniversity of Illinois at Urbana-Champaign, Josep TorrellasUniversity of Illinois at Urbana-Champaign
Media Attached
16:20
20m
Talk
Mesh: Compacting Memory Management for C/C++ Applications
PLDI Research Papers
Bobby PowersUniversity of Massachusetts, Amherst, David TenchUniversity of Massachusetts at Amherst, USA, Emery D. BergerUniversity of Massachusetts, Amherst, Andrew McGregor
Pre-print Media Attached
16:40
20m
Talk
Panthera: Holistic Memory Management for Big Data Processing over Hybrid Memories
PLDI Research Papers
Chenxi WangUCLA, Huimin CuiInstitute of Computing Technology, Chinese Academy of Sciences, Ting CaoMicrosoft Research, John ZigmanUniversity of Sydney, Australia, Haris Volos, Onur MutluETH Zurich, Fang LvInstitute of Computing Technology, Chinese Academy of Sciences, Xiaobing FengICT CAS, Guoqing Harry XuUCLA
Pre-print Media Attached