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IPPS
2003
IEEE
13 years 11 months ago
ECO: An Empirical-Based Compilation and Optimization System
In this paper, we describe a compilation system that automates much of the process of performance tuning that is currently done manually by application programmers interested in h...
Nastaran Baradaran, Jacqueline Chame, Chun Chen, P...
AIRS
2010
Springer
13 years 3 months ago
Tuning Machine-Learning Algorithms for Battery-Operated Portable Devices
Machine learning algorithms in various forms are now increasingly being used on a variety of portable devices, starting from cell phones to PDAs. They often form a part of standard...
Ziheng Lin, Yan Gu, Samarjit Chakraborty
CLEF
2009
Springer
13 years 6 months ago
Prior Art Search Using International Patent Classification Codes and All-Claims-Queries
In this study, we describe our system at the Intellectual Property track of the 2009 CrossLanguage Evaluation Forum campaign (CLEF-IP). The CLEF-IP track addressed prior art searc...
Benjamin Herbert, György Szarvas, Iryna Gurev...
JSSPP
2004
Springer
13 years 11 months ago
Enhancements to the Decision Process of the Self-Tuning dynP Scheduler
The self-tuning dynP scheduler for modern cluster resource management systems switches between different basic scheduling policies dynamically during run time. This allows to reac...
Achim Streit
SP
2008
IEEE
138views Security Privacy» more  SP 2008»
13 years 5 months ago
A performance tuning methodology with compiler support
We have developed an environment, based upon robust, existing, open source software, for tuning applications written using MPI, OpenMP or both. The goal of this effort, which inte...
Oscar Hernandez, Barbara M. Chapman, Haoqiang Jin