Title :
Research on max ordinal in universal combinatorics coding based on GPU parallel computing
Author :
Zhuo Zhang ; Jun Lu ; Ting Ting Gao ; Juan Mo ; Yu Liu
Author_Institution :
Coll. of Comput. Sci. & Technol., Heilongjiang Univ., Harbin, China
Abstract :
The parallel computing method of max ordinal number in universal combinatorics coding based on GPU is advanced in this paper. The core of universal combinatorics coding computing is ordinal number computing while the calculation of ordinal number depends on the value of max ordinal number. The calculation of max ordinal number is divided into two parts, multiplication and division of large numbers. This paper focus on the GPU parallel computing of the multiplication in max ordinal number calculation, the calculation speed of the multiplication part is increased substantially, and thus improves the efficiency of max ordinal number calculation.
Keywords :
digital arithmetic; encoding; graphics processing units; parallel processing; GPU parallel computing; division; max ordinal number calculation; multiplication part; universal combinatorics coding computing; Artificial intelligence; Computational efficiency; Graphics processing units; Parallel processing; Data Coding; Max ordinal number; Parallel computing; Universal Combinatorics Coding;
Conference_Titel :
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-1390-9
DOI :
10.1109/MIC.2013.6758004