Privatization-safe transactional memories

Artem Khyzha, Hagit Attiya, Alexey Gotsman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Transactional memory (TM) facilitates the development of concurrent applications by letting the programmer designate certain code blocks as atomic. Programmers using a TM often would like to access the same data both inside and outside transactions, and would prefer their programs to have a strongly atomic semantics, which allows transactions to be viewed as executing atomically with respect to non-transactional accesses. Since guaranteeing such semantics for arbitrary programs is prohibitively expensive, researchers have suggested guaranteeing it only for certain data-race free (DRF) programs, particularly those that follow the privatization idiom: from some point on, threads agree that a given object can be accessed non-transactionally. In this paper we show that a variant of Transactional DRF (TDRF) by Dalessandro et al. is appropriate for a class of privatization-safe TMs, which allow using privatization idioms. We prove that, if such a TM satisfies a condition we call privatization-safe opacity and a program using the TM is TDRF under strongly atomic semantics, then the program indeed has such semantics. We also present a method for proving privatization-safe opacity that reduces proving this generalization to proving the usual opacity, and apply the method to a TM based on two-phase locking and a privatization-safe version of TL2. Finally, we establish the inherent cost of privatization-safety: we prove that a TM cannot be progressive and have invisible reads if it guarantees strongly atomic semantics for TDRF programs.

Original languageEnglish
Title of host publication33rd International Symposium on Distributed Computing, DISC 2019
EditorsJukka Suomela
ISBN (Electronic)9783959771269
DOIs
StatePublished - Oct 2019
Event33rd International Symposium on Distributed Computing, DISC 2019 - Budapest, Hungary
Duration: 14 Oct 201918 Oct 2019

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume146

Conference

Conference33rd International Symposium on Distributed Computing, DISC 2019
Country/TerritoryHungary
CityBudapest
Period14/10/1918/10/19

Keywords

  • Observational refinement
  • Privatization
  • Transactional memory

All Science Journal Classification (ASJC) codes

  • Software

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