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DOI: 10.4230/LIPIcs.OPODIS.2017.7
Extending Transactional Memory with Atomic Deferral

Authors: Tingzhe Zhou, Victor Luchangco, and Michael Spear

Published in: LIPIcs, Volume 95, 21st International Conference on Principles of Distributed Systems (OPODIS 2017)

Abstract
This paper introduces atomic deferral, an extension to TM that allows programmers to move long-running or irrevocable operations out of a transaction while maintaining serializability: the transaction and its de- ferred operation appear to execute atomically from the perspective of other transactions. Thus, program- mers can adapt lock-based programs to exploit TM with relatively little effort and without sacrificing scalability by atomically deferring the problematic operations. We demonstrate this with several use cases for atomic deferral, as well as an in-depth analysis of its use on the PARSEC dedup benchmark, where we show that atomic deferral enables TM to be competitive with well-designed lock-based code.
Cite as

Tingzhe Zhou, Victor Luchangco, and Michael Spear. Extending Transactional Memory with Atomic Deferral. In 21st International Conference on Principles of Distributed Systems (OPODIS 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 95, pp. 7:1-7:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{zhou_et_al:LIPIcs.OPODIS.2017.7,
  author =	{Zhou, Tingzhe and Luchangco, Victor and Spear, Michael},
  title =	{{Extending Transactional Memory with Atomic Deferral}},
  booktitle =	{21st International Conference on Principles of Distributed Systems (OPODIS 2017)},
  pages =	{7:1--7:17},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-061-3},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{95},
  editor =	{Aspnes, James and Bessani, Alysson and Felber, Pascal and Leit\~{a}o, Jo\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2017.7},
  URN =		{urn:nbn:de:0030-drops-86275},
  doi =		{10.4230/LIPIcs.OPODIS.2017.7},
  annote =	{Keywords: Transactional Memory, Concurrency, Synchronization, I/O}
}
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