NDLI: Energy Minimization on Thread-Level Speculation in Multicore Systems

Content Provider	IEEE Xplore Digital Library
Author	Peng Li Song Guo
Copyright Year	2010
Abstract	Thread-Level Speculation (TLS) has shown great promise as an automatic parallelization technique to achieve high level performance by partitioning a sequential program into threads, which are expected to be optimistically executed in parallel. In this paper, we propose a load-balancing approach to save energy using dynamic voltage scaling. By scaling the voltage of processors running short threads, energy consumption on these processors can be reduced while keeping a similar speedup of the overall system. Two voltage selection strategies have been investigated. With the assistance of some profiling tools, we propose a static voltage selection algorithm that can minimize energy consumption without degrading the parallelism provided by the pure TLS. The other dynamic algorithm selects voltage for each thread with prediction during the execution. Our experimental results show that its energy consumption is reduced to 78.8% and execution time is stretched to 1.07 times, on average, of the pure TLS in a 16-core CMP processor.
Starting Page	125
Ending Page	132
File Size	324975
Page Count	8
File Format	PDF
ISBN	9781424476022
e-ISBN	9781424476015
DOI	10.1109/ISPDC.2010.17
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-07
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multicore processing Dynamic voltage scaling Energy consumption Voltage control Energy efficiency Algorithm design and analysis Heuristic algorithms Distributed computing Computer science dynamic voltage scaling Multicore systems energy efficiency thread-level speculation
Content Type	Text
Resource Type	Article

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