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IJHPCA
2007
88views more  IJHPCA 2007»
15 years 11 days ago
Performance Optimization and Modeling of Blocked Sparse Kernels
We present a method for automatically selecting optimal implementations of sparse matrixvector operations. Our software ‘AcCELS’ (Accelerated Compress-storage Elements for Lin...
Alfredo Buttari, Victor Eijkhout, Julien Langou, S...
EH
2002
IEEE
139views Hardware» more  EH 2002»
15 years 5 months ago
Evolving Cellular Automata to Model Fluid Flow in Porous Media
Fluid flow in porous media is a dynamic process that is traditionally modeled using PDE (Partial Differential Equations). In this approach, physical properties related to fluid fl...
Tina Yu, Seong Lee
83
Voted
ICML
2010
IEEE
15 years 1 months ago
Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes
Most existing algorithms for clinical risk stratification rely on labeled training data. Collecting this data is challenging for clinical conditions where only a small percentage ...
Zeeshan Syed, Ilan Rubinfeld
116
Voted
AAECC
2007
Springer
87views Algorithms» more  AAECC 2007»
15 years 18 days ago
Towards an accurate performance modeling of parallel sparse factorization
We present a simulation-based performance model to analyze a parallel sparse LU factorization algorithm on modern cached-based, high-end parallel architectures. We consider supern...
Laura Grigori, Xiaoye S. Li
96
Voted
JMLR
2008
133views more  JMLR 2008»
15 years 13 days ago
Algorithms for Sparse Linear Classifiers in the Massive Data Setting
Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
Suhrid Balakrishnan, David Madigan