Dynamic Scheduling in Distributed Transactional Memory

Costas Busch, Maurice Herlihy, Miroslav Popovic, Gokarna Sharma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We investigate scheduling algorithms for distributed transactional memory systems where transactions residing at nodes of a communication graph operate on shared, mobile objects. A transaction requests the objects it needs, executes once those objects have been assembled, and then sends the objects to other waiting transactions. We study scheduling algorithms with provable performance guarantees. Previously, only the offline batch scheduling setting was considered in the literature where transactions and the objects they access are known a priori. Minimizing execution time, even for the offline batch scheduling, is known to be NP-hard for arbitrary communication graphs. In this paper, we analyze for the very first time scheduling algorithms in the online dynamic scheduling setting where transactions and the objects they access are not known a priori and the transactions may arrive online over time. We provide efficient and near-optimal execution time schedules for dynamic scheduling in many specialized network architectures. The core of our technique is a method to convert offline schedules to online. We first describe a centralized scheduler which we then adapt it to a purely distributed scheduler. To our knowledge, these are the first attempts to obtain provably efficient online execution schedules for distributed transactional memory.

Original languageEnglish (US)
Title of host publicationProceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium, IPDPS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages874-883
Number of pages10
ISBN (Electronic)9781728168760
DOIs
StatePublished - May 2020
Externally publishedYes
Event34th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2020 - New Orleans, United States
Duration: May 18 2020May 22 2020

Publication series

NameProceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium, IPDPS 2020

Conference

Conference34th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2020
CountryUnited States
CityNew Orleans
Period5/18/205/22/20

Keywords

  • data-flow model
  • distributed systems
  • dynamic scheduling
  • execution time
  • Transactional memory

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality

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