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WSC
2004
15 years 8 months ago
Data Farming: Discovering Surprise
Data Farming is a methodology and capability that makes use of high performance computing to run models many times. This capability gives modelers and their clients the enhanced a...
Gary E. Horne, Theodore E. Meyer
ICCAD
2001
IEEE
128views Hardware» more  ICCAD 2001»
16 years 3 months ago
An Assembly-Level Execution-Time Model for Pipelined Architectures
The aim of this work is to provide an elegant and accurate static execution timing model for 32-bit microprocessor instruction sets, covering also inter–instruction effects. Suc...
Giovanni Beltrame, Carlo Brandolese, William Forna...
QEST
2009
IEEE
16 years 1 months ago
The Ins and Outs of the Probabilistic Model Checker MRMC
The Markov Reward Model Checker (MRMC) is a software tool for verifying properties over probabilistic models. It supports PCTL and CSL model checking, and their reward extensions....
Joost-Pieter Katoen, Ivan S. Zapreev, Ernst Moritz...
SEMWEB
2009
Springer
16 years 1 months ago
Scalable Matching of Industry Models - a Case Study
A recent approach to the problem of ontology matching has been to convert the problem of ontology matching to information retrieval. We explore the utility of this approach in matc...
Brian Byrne, Achille Fokoue, Aditya Kalyanpur, Kav...
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ICCS
2003
Springer
15 years 12 months ago
A Compiler Approach to Performance Prediction Using Empirical-Based Modeling
Abstract. Performance understanding and prediction are extremely important goals for guiding the application of program optimizations or in helping programmers focus their efforts...
Pedro C. Diniz