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Reducing transaction aborts by looking to the future

Published: 10 February 2018 Publication History

Abstract

Transactions are widely used in database engines and they becoming increasingly useful as a general synchronization technique for multicore machines [1]. Transactional systems allow a programmer to encapsulate multiple operations inside a transaction. All these operations appear to be executed atomically or not at all.

References

[1]
Tim Harris, James Larus, and Ravi Rajwar. 2010. Transactional Memory, 2nd edition. Synth. Lect. Comput. Archit. 5 (2010).
[2]
Shuai Mu, Yang Cui, Yang Zhang, Wyatt Lloyd, and Jinyang Li. 2014. Extracting More Concurrency from Distributed Transactions. In OSDI.
[3]
Stephen Tu, Wenting Zheng, Eddie Kohler, Barbara Liskov, and Samuel Madden. 2013. Speedy transactions in multicore in-memory databases. In SOSP.

Cited By

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  • (2019)Read-Uncommitted Transactions for Smart Contract Performance2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS.2019.00194(1960-1970)Online publication date: Jul-2019

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Published In

cover image ACM Conferences
PPoPP '18: Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
February 2018
442 pages
ISBN:9781450349826
DOI:10.1145/3178487
  • cover image ACM SIGPLAN Notices
    ACM SIGPLAN Notices  Volume 53, Issue 1
    PPoPP '18
    January 2018
    426 pages
    ISSN:0362-1340
    EISSN:1558-1160
    DOI:10.1145/3200691
    Issue’s Table of Contents
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Publication History

Published: 10 February 2018

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Cited By

View all
  • (2019)Read-Uncommitted Transactions for Smart Contract Performance2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS.2019.00194(1960-1970)Online publication date: Jul-2019

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