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Pattern matching in OpenCL: GPU vs CPU energy consumption on two mobile chipsets
Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology.
Sony Mobile Communications, Sweden.
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2014 (English)In: Proceedings of the International Workshop / OpenCL 2013 & 2014 (IWOCL '14), ACM Digital Library, 2014, Article No. 5- p.Conference paper (Other academic)
Abstract [en]

Adaptations of the Aho-Corasick (AC) algorithm on high performance graphics processors (also called GPUs) have garnered increasing attention in recent years. However, no results have been reported regarding their implementations on mobile GPUs. In this paper, we show that implementing a state-of-the-art Aho-Corasick parallel algorithm on a mobile GPU delivers significant speedups. We study a few implementation optimizations some of which may seem counter-intuitive to standard optimizations for high-end GPUs. More importantly, we focus on measuring the energy consumed by different components of the OpenCL application rather than reporting the aggregate. We show that there are considerable energy savings compared to the CPU implementation of the AC algorithm.

Place, publisher, year, edition, pages
ACM Digital Library, 2014. Article No. 5- p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-121564DOI: 10.1145/2664666.2664671ISBN: 978-1-4503-3007-7OAI: oai:DiVA.org:liu-121564DiVA: diva2:856760
Conference
2nd International Workshop on OpenCL (IWOCL 2014), Bristol, UK, May 12-14, 2014
Available from: 2015-09-25 Created: 2015-09-25 Last updated: 2015-10-05Bibliographically approved

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Maghazeh, ArianBordoloi, Unmesh D.
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Department of Computer and Information ScienceThe Institute of TechnologySoftware and Systems
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