S-Space College of Engineering/Engineering Practice School (공과대학/대학원) Dept. of Electrical and Computer Engineering (전기·정보공학부) Journal Papers (저널논문_전기·정보공학부)
Parallel Scalability in Speech Recognition
- You, Kisun; Chong, Jike; Yi, Youngmin; Gonina, Ekaterina; Christopher.J., Hughes; Chen, Yen-Kuang; Sung, Wonyong; K., Keutzer
- Issue Date
- IEEE Signal Processing Magazine, vol. 25, no. 6, pp. 124-135
- 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.