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PPOPP
2010
ACM
16 years 1 months ago
Model-driven autotuning of sparse matrix-vector multiply on GPUs
We present a performance model-driven framework for automated performance tuning (autotuning) of sparse matrix-vector multiply (SpMV) on systems accelerated by graphics processing...
Jee W. Choi, Amik Singh, Richard W. Vuduc
IPPS
2007
IEEE
15 years 10 months ago
A Multi-Level Parallel Implementation of a Program for Finding Frequent Patterns in a Large Sparse Graph
Graphs capture the essential elements of many problems broadly defined as searching or categorizing. With the rapid increase of data volumes from sensors, many application discipl...
Steve Reinhardt, George Karypis
CGF
2008
125views more  CGF 2008»
15 years 4 months ago
Sparse points matching by combining 3D mesh saliency with statistical descriptors
This paper proposes new methodology for the detection and matching of salient points over several views of an object. The process is composed by three main phases. In the first st...
Umberto Castellani, Marco Cristani, Simone Fantoni...
CORR
2010
Springer
207views Education» more  CORR 2010»
15 years 4 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
TSP
2008
146views more  TSP 2008»
15 years 3 months ago
Improved M-FOCUSS Algorithm With Overlapping Blocks for Locally Smooth Sparse Signals
Abstract-- The FOCal Underdetermined System Solver (FOCUSS) algorithm has already found many applications in signal processing and data analysis, whereas the regularized MFOCUSS al...
Rafal Zdunek, Andrzej Cichocki