PLDI 2019 (series) / PLDI Research Papers /
Mesh: Compacting Memory Management for C/C++ Applications
Programs written in C/C++ can suffer from serious memory
fragmentation, leading to low utilization of memory, degraded
performance, and application failure due to memory exhaustion. This
paper introduces Mesh, a plug-in replacement for malloc
that, for the first time, eliminates fragmentation in unmodified
C/C++ applications. Mesh combines novel randomized algorithms with
widely-supported virtual memory operations to provably reduce
fragmentation, breaking the classical Robson bounds with high
probability. Mesh generally matches the runtime performance of
state-of-the-art memory allocators while reducing memory consumption;
in particular, it reduces the memory of consumption of Firefox by 16%
and Redis by 39%.
Mon 24 JunDisplayed time zone: Tijuana, Baja California change
Mon 24 Jun
Displayed 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 |