Pattern Matching in OpenCL: GPU vs CPU Energy Consumption on Two Mobile Chipsets
Department of Computer and Information Science, Linkopings Universitet, Sweden
2nd International Workshop on OpenCL (IWOCL 2014), 2014
@article{aragon2014pattern,
title={Pattern Matching in OpenCL: GPU vs CPU Energy Consumption on Two Mobile Chipsets},
author={Aragon, Elena and Jim{‘e}nez, Juan M and Maghazeh, Arian and Rasmusson, Jim and Bordoloi, Unmesh D},
year={2014}
}
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.
September 11, 2014 by hgpu
