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Communication Dans Un Congrès Année : 2019

Check-Wait-Pounce: Increasing Transactional Data Structure Throughput by Delaying Transactions

Lance Lebanoff
  • Fonction : Auteur
  • PersonId : 1056242
Christina Peterson
  • Fonction : Auteur
  • PersonId : 1056243
Damian Dechev
  • Fonction : Auteur
  • PersonId : 1056244

Résumé

Transactional data structures allow data structures to support transactional execution, in which a sequence of operations appears to execute atomically. We consider a paradigm in which a transaction commits its changes to the data structure only if all of its operations succeed; if one operation fails, then the transaction aborts. In this work, we introduce an optimization technique called Check-Wait-Pounce that increases performance by avoiding aborts that occur due to failed operations. Check-Wait-Pounce improves upon existing methodologies by delaying the execution of transactions until they are expected to succeed, using a thread-unsafe representation of the data structure as a heuristic. Our evaluation reveals that Check-Wait-Pounce reduces the number of aborts by an average of 49.0%. Because of this reduction in aborts, the tested transactional linked lists achieve average gains in throughput of 2.5x, while some achieve gains as high as 4x.
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hal-02319577 , version 1 (18-10-2019)

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Lance Lebanoff, Christina Peterson, Damian Dechev. Check-Wait-Pounce: Increasing Transactional Data Structure Throughput by Delaying Transactions. 19th IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS), Jun 2019, Kongens Lyngby, Denmark. pp.19-35, ⟨10.1007/978-3-030-22496-7_2⟩. ⟨hal-02319577⟩
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