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Computer Science > Distributed, Parallel, and Cluster Computing

arXiv:2206.01359 (cs)
[Submitted on 3 Jun 2022]

Title:Thread and Data Mapping in Software Transactional Memory: An Overview

Authors:Douglas Pereira Pasqualin, Matthias Diener, André Rauber Du Bois, Maurício Lima Pilla
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Abstract:In current microarchitectures, due to the complex memory hierarchies and different latencies on memory accesses, thread and data mapping are important issues to improve application performance. Software transactional memory (STM) is an abstraction used for thread synchronization, replacing the use of locks in parallel programming. Regarding thread and data mapping, STM presents new challenges and mapping opportunities, since (1) STM can use different conflict detection and resolution strategies, making the behavior of the application less predictable and; (2) the STM runtime has precise information about shared data and the intensity with each thread accesses them. These unique characteristics provide many opportunities for low-overhead, but precise statistics to guide mapping strategies for STM applications. The main objective of this paper is to survey the existing work about thread and data mapping that uses solely information gathered from the STM runtime to guide thread and data mapping decisions. We also discuss future research directions within this research area.
Comments: 14 pages, 2 figures, 1 table, 52 references
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
Cite as: arXiv:2206.01359 [cs.DC]
  (or arXiv:2206.01359v1 [cs.DC] for this version)
  https://doi.org/10.48550/arXiv.2206.01359

Submission history

From: Douglas Pasqualin [view email]
[v1] Fri, 3 Jun 2022 01:37:07 UTC (248 KB)
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