Title :
A Paradigm of Extensions of Parallel Execution Model
Author :
Jun, Zhao ; Li-lun, Zhang ; Jun-qiang, Song
Author_Institution :
Inst. of Software, Nat. Univ. of Defense Technol., Changsha, China
Abstract :
In this paper, the conception extension of parallel execution model in layered idea for parallel computation model research is proposed, in which not only compiling and optimal running are included, but also partial parallel programming for parallelizing the program execution. Breaking through the thinking set of parallel algorithm design and parallel programming, an actual problem, the numerical weather prediction post-processing system, is parallelized by using a job-level parallel method. By parallelizing the execution of program, the wall-time of post-processing system is decreased evidently and ideal parallel efficiency is obtained. This case can be regarded as a paradigm of extensions of parallel execution model.
Keywords :
parallel programming; job-level parallel method; numerical weather prediction post-processing system; parallel algorithm design; parallel computation model; parallel execution model; partial parallel programming; Computational modeling; Computers; Forecasting; Numerical models; Parallel processing; Predictive models; Weather forecasting; Job-level Parallel; Parallel Execution Model; Post-Processing System;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.553