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» On Wiedemann's Method of Solving Sparse Linear Systems
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FCCM
2006
IEEE
268views VLSI» more  FCCM 2006»
14 years 3 months ago
Sparse Matrix-Vector Multiplication for Finite Element Method Matrices on FPGAs
We present an architecture and an implementation of an FPGA-based sparse matrix-vector multiplier (SMVM) for use in the iterative solution of large, sparse systems of equations ar...
Yousef El-Kurdi, Warren J. Gross, Dennis Giannacop...
CVPR
2010
IEEE
1192views Computer Vision» more  CVPR 2010»
14 years 5 months ago
RASL: Robust Alignment by Sparse and Low-rank Decomposition for Linearly Correlated Images
This paper studies the problem of simultaneously aligning a batch of linearly correlated images despite gross corruption (such as occlusion). Our method seeks an optimal set of im...
Yigang Peng, Arvind Balasubramanian, John Wright, ...
SIAMSC
2010
143views more  SIAMSC 2010»
13 years 7 months ago
Computing and Deflating Eigenvalues While Solving Multiple Right-Hand Side Linear Systems with an Application to Quantum Chromod
Abstract. We present a new algorithm that computes eigenvalues and eigenvectors of a Hermitian positive definite matrix while solving a linear system of equations with Conjugate G...
Andreas Stathopoulos, Konstantinos Orginos
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
14 years 9 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
PC
2008
119views Management» more  PC 2008»
13 years 9 months ago
GREMLINS: a large sparse linear solver for grid environment
Traditional large sparse linear solvers are not suited in a grid computing environment as they require a large amount of synchronization and communication penalizing the performan...
Raphaël Couturier, Christophe Denis, Fabienne...