SHERP

Parallel Scalability in Speech Recognition

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Authors
You, Kisun; Chong, Jike; Yi, Youngmin; Gonina, Ekaterina; Christopher.J., Hughes; Chen, Yen-Kuang; Sung, Wonyong; K., Keutzer
Issue Date
2009-11
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
IEEE Signal Processing Magazine, vol. 25, no. 6, pp. 124-135
Abstract
We propose four application-level implementation alternatives called algorithm styles and construct highly optimized implementations on two parallel platforms: an Intel Core i7 multicore processor and a NVIDIA GTX280 manycore processor. The highest performing algorithm style varies with the implementation platform. On a 44-min speech data set, we demonstrate substantial speedups of 3.4 X on Core i7 and 10.5 X on GTX280 compared to a highly optimized sequential implementation on Core i7 without sacrificing accuracy. The parallel implementations contain less than 2.5% sequential overhead, promising scalability and significant potential for further speedup on future platforms.
ISSN
1053-5888
Language
English
URI
http://hdl.handle.net/10371/68656
DOI
https://doi.org/10.1109/MSP.2009.934124
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Electrical and Computer Engineering (전기·정보공학부)Journal Papers (저널논문_전기·정보공학부)
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