ISMM 2019
2019 ACM SIGPLAN International Symposium on Memory Management (ISMM 2019)
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2019 ACM SIGPLAN International Symposium on Memory Management (ISMM 2019), June 23, 2019, Phoenix, AZ, USA

ISMM 2019 – Preliminary Table of Contents

Contents - Abstracts - Authors


Title Page
Message from the Chairs
ISMM 2019 Organization


Concurrent Marking of Shape-Changing Objects
Ulan Degenbaev, Michael Lippautz, and Hannes Payer
(Google, Germany)
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Massively Parallel GPU Memory Compaction
Matthias Springer and Hidehiko Masuhara
(Tokyo Institute of Technology, Japan)
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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, n.n.; Drexel University, USA; Imperial College London, UK)
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Design and Analysis of Field-Logging Write Barriers
Stephen M. Blackburn
(Australian National University, Australia)
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A Lock-Free Coalescing-Capable Mechanism for Memory Management
Ricardo Leite and Ricardo Rocha
(University of Porto, Portugal)
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Learning When to Garbage Collect with Random Forests
Nicholas Jacek and J. Eliot B. Moss
(University of Massachusetts at Amherst, USA)
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Automatic GPU Memory Management for Large Neural Models in TensorFlow
Tung D. Le, Haruki Imai, Yasushi Negishi, and Kiyokuni Kawachiya
(IBM Research, Japan)
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Scaling Up Parallel GC Work-Stealing in Many-Core Environments
Michihiro Horie, Kazunori Ogata, Mikio Takeuchi, and Hiroshi Horii
(IBM Research, Japan)
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Gradual Write-Barrier Insertion into a Ruby Interpreter
Koichi Sasada
(Cookpad, Japan)
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Timescale Functions for Parallel Memory Allocation
Pengcheng Li, Hao Luo, and Chen Ding
(Google, USA; University of Rochester, USA)
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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)
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