Paper Info
Title
Multiple-Phase Collective I/O Technique for Improving Data Access Locality
Abstract
This paper presents Multiple-Phase Collective I/O, a novel collective I/O technique for distributed memory multi-processors. Multiple-Phase Collective I/O is a refinement of two-phase collective I/O technique. The communication phase is structured into several steps, which progressively increase the locality of the data to be written to a file system. Besides the description ofMultiple-Phase Collective I/O, our paper addresses two additional objectives. First, we target to improve the efficiency of the Sulphur Transport Eurelian Model 2 (STEM-II) application. STEM-II is an air quality model that simulates transport, chemical transformations, emission and deposition processes in a unified framework. Due to the large amount of processed data, I/O becomes a critical factor for the application performance. Multiple-Phase Collective I/O, considerably enhances the performance of the I/O stage in particular and, consequently, of the whole application in general. Second objective consists of evaluating and comparing the performance of Multiple-Phase Collective I/O with that of other well known parallel I/O techniques.
Year
DOI
Venue
2007
10.1109/PDP.2007.54
PDP
Keywords
Field
DocType
air pollution,distributed memory systems,environmental science computing,chemical transformations,data access locality,distributed memory multiprocessors,multiple-phase collective I/O,sulphur transport Eurelian model 2
Locality,File system,Computer science,Parallel computing,Distributed memory,Input/output,Data access,Distributed memory systems,Distributed computing
Conference
ISBN
Citations 
PageRank 
0-7695-2784-1
3
0.56
References 
Authors
8
5
Name
Order
Citations
PageRank
David E. Singh119123.13
Florin Isaila223424.01
Alejandro Calderon3183.80
Felix Garcia4275.15
Jesus Carretero523929.04