ISMM 2019
2019 ACM SIGPLAN International Symposium on Memory Management (ISMM 2019)

Title Page

Welcome from the Chairs

ISMM 2019 Organization

Sponsors

Automatic GPU Memory Management for Large Neural Models in TensorFlow
Tung D. Le, Haruki Imai, Yasushi Negishi, and Kiyokuni Kawachiya
(IBM Research, Japan)

Publisher's Version

Massively Parallel GPU Memory Compaction
Matthias Springer and Hidehiko Masuhara
(Tokyo Institute of Technology, Japan)

Publisher's Version

Scaling Up Parallel GC Work-Stealing in Many-Core Environments
Michihiro Horie, Kazunori Ogata, Mikio Takeuchi, and Hiroshi Horii
(IBM Research, Japan)

Publisher's Version

Exploration of Memory Hybridization for RDD Caching in Spark
Md Muhib Khan, Muhammad Ahad Ul Alam, Amit Kumar Nath, and Weikuan Yu
(Florida State University, USA)

Publisher's Version

Learning When to Garbage Collect with Random Forests
Nicholas Jacek and J. Eliot B. Moss
(University of Massachusetts at Amherst, USA)

Publisher's Version

Timescale Functions for Parallel Memory Allocation
Pengcheng Li, Hao Luo, and Chen Ding
(Google, USA; University of Rochester, USA)

Publisher's Version

A Lock-Free Coalescing-Capable Mechanism for Memory Management
Ricardo Leite and Ricardo Rocha
(University of Porto, Portugal)

Publisher's Version

Concurrent Marking of Shape-Changing Objects
Ulan Degenbaev, Michael Lippautz, and Hannes Payer
(Google, Germany)

Publisher's Version

Design and Analysis of Field-Logging Write Barriers
Stephen M. Blackburn
(Australian National University, Australia)

Publisher's Version Info

Gradual Write-Barrier Insertion into a Ruby Interpreter
Koichi Sasada
(Cookpad, Japan)

Publisher's Version

snmalloc: A Message Passing Allocator
Paul Liétar, Theodore Butler, Sylvan Clebsch, Sophia Drossopoulou, Juliana Franco, Matthew J. Parkinson, Alex Shamis, Christoph M. Wintersteiger, and David Chisnall
(Microsoft Research, UK; Drexel University, USA; Imperial College London, UK)

Publisher's Version Info