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» Using Machine Learning to Guide Architecture Simulation
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PVM
2009
Springer
14 years 2 months ago
Optimizing MPI Runtime Parameter Settings by Using Machine Learning
Abstract. Manually tuning MPI runtime parameters is a practice commonly employed to optimise MPI application performance on a specific architecture. However, the best setting for ...
Simone Pellegrini, Jie Wang, Thomas Fahringer, Han...
CLEF
2006
Springer
13 years 11 months ago
Using Machine Learning and Text Mining in Question Answering
This paper describes a QA system centered in a full data-driven architecture. It applies machine learning and text mining techniques to identify the most probable answers to factoi...
Antonio Juárez-González, Alberto T&e...
CASES
2007
ACM
13 years 12 months ago
A fast and generic hybrid simulation approach using C virtual machine
Instruction Set Simulators (ISSes) are important tools for cross-platform software development. The simulation speed is a major concern and many approaches have been proposed to i...
Lei Gao, Stefan Kraemer, Rainer Leupers, Gerd Asch...
RCC
2002
104views more  RCC 2002»
13 years 7 months ago
Architectural Specification, Exploration and Simulation Through Rewriting-Logic
In recent years Arvind's Group at MIT has shown the usefulness of term rewriting theory for the specification of processor architectures. In their approach processors specifi...
Mauricio Ayala-Rincón, Reiner W. Hartenstei...
ICML
2004
IEEE
14 years 8 months ago
Parameter space exploration with Gaussian process trees
Computer experiments often require dense sweeps over input parameters to obtain a qualitative understanding of their response. Such sweeps can be prohibitively expensive, and are ...
Robert B. Gramacy, Herbert K. H. Lee, William G. M...