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» Using Machine Learning to Guide Architecture Simulation
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PVM
2009
Springer
15 years 4 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
15 years 1 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
15 years 1 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»
14 years 9 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
15 years 10 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...