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Documents authored by Cohen, Nachshon


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The Teleportation Design Pattern for Hardware Transactional Memory

Authors: Nachshon Cohen, Maurice Herlihy, Erez Petrank, and Elias Wald

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


Abstract
We identify a design pattern for concurrent data structures, called teleportation, that uses best- effort hardware transactional memory to speed up certain kinds of legacy concurrent data struc- tures. Teleportation unifies and explains several existing data structure designs, and it serves as the basis for novel approaches to reducing the memory traffic associated with fine-grained locking, and with hazard pointer management for memory reclamation.

Cite as

Nachshon Cohen, Maurice Herlihy, Erez Petrank, and Elias Wald. The Teleportation Design Pattern for Hardware Transactional Memory. In 21st International Conference on Principles of Distributed Systems (OPODIS 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 95, pp. 10:1-10:16, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2018)


Copy BibTex To Clipboard

@InProceedings{cohen_et_al:LIPIcs.OPODIS.2017.10,
  author =	{Cohen, Nachshon and Herlihy, Maurice and Petrank, Erez and Wald, Elias},
  title =	{{The Teleportation Design Pattern for Hardware Transactional Memory}},
  booktitle =	{21st International Conference on Principles of Distributed Systems (OPODIS 2017)},
  pages =	{10:1--10:16},
  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.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2017.10},
  URN =		{urn:nbn:de:0030-drops-86306},
  doi =		{10.4230/LIPIcs.OPODIS.2017.10},
  annote =	{Keywords: Hardware transactional memory, concurrent data structures}
}
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