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ORCIDISMM 2019: Phoenix, AZ, USA
- Jeremy Singer, Harry Xu:
Proceedings of the 2019 ACM SIGPLAN International Symposium on Memory Management, ISMM 2019, Phoenix, AZ, USA, June 23-23, 2019. ACM 2019, ISBN 978-1-4503-6722-6
Scaling Up
- Tung D. Le, Haruki Imai, Yasushi Negishi, Kiyokuni Kawachiya:
Automatic GPU memory management for large neural models in TensorFlow. 1-13 - Matthias Springer, Hidehiko Masuhara:
Massively parallel GPU memory compaction. 14-26 - Michihiro Horie, Kazunori Ogata, Mikio Takeuchi, Hiroshi Horii:
Scaling up parallel GC work-stealing in many-core environments. 27-40
Exotica
- Md. Muhib Khan, Muhammad Ahad Ul Alam, Amit Kumar Nath
, Weikuan Yu:
Exploration of memory hybridization for RDD caching in Spark. 41-52 - Nicholas Jacek, J. Eliot B. Moss:
Learning when to garbage collect with random forests. 53-63 - Pengcheng Li, Hao Luo, Chen Ding:
Timescale functions for parallel memory allocation. 64-78
Mechanics
- Ricardo Leite, Ricardo Rocha:
A lock-free coalescing-capable mechanism for memory management. 79-88 - Ulan Degenbaev, Michael Lippautz, Hannes Payer:
Concurrent marking of shape-changing objects. 89-102 - Stephen M. Blackburn:
Design and analysis of field-logging write barriers. 103-114 - Koichi Sasada:
Gradual write-barrier insertion into a Ruby interpreter. 115-121
Message Passing
- Paul Liétar, Theodore Butler, Sylvan Clebsch, Sophia Drossopoulou, Juliana Franco, Matthew J. Parkinson, Alex Shamis, Christoph M. Wintersteiger, David Chisnall:
snmalloc: a message passing allocator. 122-135
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