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Permanent link (DOI): https://doi.org/10.7939/R3BG2HJ8S

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Serialization Management Driven Performance in Best-Effort Hardware Transactional Memory Systems Open Access

Descriptions

Other title
Subject/Keyword
experimental evaluation
hardware transactional memory
serialization management
transactional memory
fallback policies
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Gaudet, Matthew
Supervisor and department
Amaral, Jose Nelson
Examining committee member and department
Lu, Paul (Computing Science)
MacGregor, Mike (Computing Scince)
Araújo, Guido (IC-UNICAMP)
Department
Department of Computing Science
Specialization

Date accepted
2014-08-06T11:33:25Z
Graduation date
2014-11
Degree
Master of Science
Degree level
Master's
Abstract
Serialization Management is the Best-Effort Hardware Transactional Memory (BE-HTM) counterpart to Software Transactional Memory (STM) Contention Management. A serialization manager uses non-speculative serialization to provide a forward-progress guarantee while simultaneously attempting to provide high application performance. Historically, non-speculative serialization management has been done through a simple policy of allowing a fixed number of retries. This thesis investigates the proposition that application performance can be improved through better Serialization Management. This thesis explores seven serialization managers and their tuning parameters on Blue Gene/Q's BE-HTM system using the Stanford Transactional Applications for Multi-Processing (STAMP) and the Recognition, Mining and Synthesis (RMS-TM) benchmark suites. It presents the first large-scale investigation of Serialization Management for BE-HTM in the literature. This investigation experiments with a large number of values for each tuning parameter on multiple platforms. The main finding is that program performance can be improved by changing the serialization manager. However, performance is actually dominated by the tuning of parameters for each manager and this tuning depends on the benchmark, the thread count, and the platform.
Language
English
DOI
doi:10.7939/R3BG2HJ8S
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
Software Support and Evaluation of Hardware Transaction Memory on Blue Gene/Q Amy Wang, Matthew Gaudet, Peng Wu, José Nelson Amaral, Martin Ohmacht, Christopher Barton, Raul Silvera, Maged M. Michael Forthcoming in IEEE Transactions on Computers

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File title: Serialization Management Driven Performance in Best-Effort Hardware Transactional Memory
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