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2000
ACM
15 years 2 months ago
Performance Modeling and Tuning of an Unstructured Mesh CFD Application
This paper describes performance tuning experiences with a three-dimensional unstructured grid Euler flow code from NASA, which we have reimplemented in the PETSc framework and p...
William Gropp, Dinesh K. Kaushik, David E. Keyes, ...
ISMB
2000
14 years 11 months ago
A Probabilistic Learning Approach to Whole-Genome Operon Prediction
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
Mark Craven, David Page, Jude W. Shavlik, Joseph B...
CF
2007
ACM
15 years 1 months ago
Fast compiler optimisation evaluation using code-feature based performance prediction
Performance tuning is an important and time consuming task which may have to be repeated for each new application and platform. Although iterative optimisation can automate this p...
Christophe Dubach, John Cavazos, Björn Franke...
84
Voted
ISORC
2000
IEEE
15 years 2 months ago
Hybrid Sequence Charts
We introduce Hybrid Sequence Charts (HySCs) as a visual description technique for communication in hybrid system models. To that end, we adapt a subset of the well-known MSC synta...
Radu Grosu, Ingolf Krüger, Thomas Stauner
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
15 years 10 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik