Title :
Transfer data optimization in parallel computing
Author :
Hong, Joonmo ; Yoo, Sung Hoon ; Yang, Jisu ; Kang, BooJoong ; Im, Eul Gyu
Author_Institution :
ECE Div., Hanyang Univ., Seoul, South Korea
Abstract :
Parallel computing is still evolving. Although there are great improvements in the field, still remains to be improved. The major research trend of parallel computing is now shifting to software technology from hardware architecture. We proposed a parallel technique to reduce network latency based on data´s behavior of change, implemented it to real application GEOS-Chem, and made it faster.
Keywords :
electronic data interchange; optimisation; parallel programming; GEOS-Chem; hardware architecture; parallel computing; software technology; transfer data optimization; Atmospheric modeling; Chemicals; Computational modeling; Computer architecture; Optimization; Parallel processing; Sparse matrices; Atmospheric simulation model; Distributed computing; GEOS-Chem; Matrix; Parallel computing;
Conference_Titel :
Network Infrastructure and Digital Content, 2010 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6851-5
DOI :
10.1109/ICNIDC.2010.5657791
