Title
Performance characterization of irregular I/O at the extreme scale.
Abstract
•We statistically model the I/O behavior of two irregular applications.•We feed the model into two ADIOS I/O kernels and two HDF5 I/O kernels.•We measure the performance of the two applications’ I/O under different I/O parameter settings.•We critically compare and contrast the results for a large set of I/O scenarios.•We show how I/O size and irregular I/O patterns are relevant factors when tuning performance.
Year
DOI
Venue
2016
10.1016/j.parco.2015.10.009
Parallel Computing
Keywords
Field
DocType
Exascale,Irregular I/O,QMCPack,ENZO,ADIOS,HDF5
Hierarchical Data Format,Data modeling,Monte Carlo method,Extreme scale,Computer science,Parallel computing,Input/output,Theoretical computer science,Adaptive mesh refinement,Scalability
Journal
Volume
Issue
ISSN
51
C
0167-8191
Citations 
PageRank 
References 
1
0.37
11
Authors
6
Name
Order
Citations
PageRank
Stephen Herbein1305.55
Sean McDaniel210.37
Norbert Podhorszki3104683.84
Jeremy Logan415416.72
Scott Klasky5154799.00
michela taufer635253.04