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SC
1995
ACM
13 years 11 months ago
Predicting Application Behavior in Large Scale Shared-memory Multiprocessors
In this paper we present an analytical-based framework for parallel program performance prediction. The main thrust of this work is to provide a means for treating realistic appli...
Karim Harzallah, Kenneth C. Sevcik
SC
2009
ACM
14 years 6 days ago
Plasma fusion code coupling using scalable I/O services and scientific workflows
In order to understand the complex physics of mother nature, physicist often use many approximations to understand one area of physics and then write a simulation to reduce these ...
Norbert Podhorszki, Scott Klasky, Qing Liu, Cipria...
HPDC
2010
IEEE
13 years 8 months ago
Early observations on the performance of Windows Azure
A significant open issue in cloud computing is performance. Few, if any, cloud providers or technologies offer quantitative performance guarantees. Regardless of the potential adv...
Zach Hill, Jie Li, Ming Mao, Arkaitz Ruiz-Alvarez,...
ISPASS
2009
IEEE
14 years 2 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
ESCIENCE
2006
IEEE
14 years 1 months ago
A Unified Data Grid Replication Framework
Modern scientific experiments can generate large amounts of data, which may be replicated and distributed across multiple resources to improve application performance and fault to...
Tim Ho, David Abramson