Title :
Using surrogate-based modeling to predict optimal I/O parameters of applications at the extreme scale
Author :
M. Matheny;S. Herbein;N. Podhorszki;S. Klasky;M. Taufer
Author_Institution :
University of Delaware, Newark, 19716, USA
Abstract :
On petascale systems, the selection of optimal values for I/O parameters without taking into account the I/O size and pattern can cause the I/O time to dominate the simulation time, compromising the application´s scalability. In this paper, we adopt and adapt an engineering method called surrogate-based modeling to efficiently search for the optimal I/O parameter values and accurately predict the associated I/O times at the extreme scale. Our approach allows us to address both the search and prediction in a short time, even when the application´s I/O is large and exhibits irregular patterns.
Keywords :
"Kernel","Polynomials","Response surface methodology","Predictive models","Computational modeling","Runtime","Data models"
Conference_Titel :
Parallel and Distributed Systems (ICPADS), 2014 20th IEEE International Conference on
DOI :
10.1109/PADSW.2014.7097855