Application of MPI-IO in Parallel Particle Transport Monte-Carlo Simulation

Parallel computers are increasingly being used to run large-scale applications that also have huge input/output (I/O) requirements. However, many applications usually obtain poor I/O performance on parallel machines. In this paper, we will address the parallel I/O of a parallel particle transport Mo...

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Bibliographic Details
Published in:	Parallel algorithms and applications Vol. 19; no. 4; pp. 227 - 236
Main Authors:	Zeyao, Mo, Zhengfeng, Huang
Format:	Journal Article
Language:	English
Published:	Taylor & Francis GroupAbingdon, UK 01.12.2004
Subjects:	MPI I/O Parallel Monte-Carlo simulation Particle transport Speedup
ISSN:	1063-7192
Online Access:	Get full text
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Summary:	Parallel computers are increasingly being used to run large-scale applications that also have huge input/output (I/O) requirements. However, many applications usually obtain poor I/O performance on parallel machines. In this paper, we will address the parallel I/O of a parallel particle transport Monte-Carlo simulation code (PTMC) on a parallel computer. This paper shows that, without careful treatments, the I/O overheads will ultimately dominate the elapsed simulation time. Fortunately, we have successfully designed the parallel MPI I/O methods for it. In particular, for a benchmark application MAP6 with 105 steps of 100,000 samples, we have elevated the speedup from 10 with 64 processors to 56 with 90 processors. Moreover, our method is scalable for a larger number of CPUs and a larger number of samples.
ISSN:	1063-7192
DOI:	10.1080/10637190412331295166