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» Rescheduling for Locality in Sparse Matrix Computations
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ICCS
2001
Springer
14 years 29 days ago
Rescheduling for Locality in Sparse Matrix Computations
Michelle Mills Strout, Larry Carter, Jeanne Ferran...
CF
2005
ACM
13 years 10 months ago
Sparse matrix storage revisited
In this paper, we consider alternate ways of storing a sparse matrix and their effect on computational speed. They involve keeping both the indices and the non-zero elements in t...
Malik Silva
CVPR
2012
IEEE
11 years 11 months ago
Non-negative low rank and sparse graph for semi-supervised learning
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
CVPR
2010
IEEE
14 years 26 days ago
Local Features Are Not Lonely - Laplacian Sparse Coding for Image Classification
Sparse coding which encodes the original signal in a sparse signal space, has shown its state-of-the-art performance in the visual codebook generation and feature quantization pro...
Shenghua Gao, Wai-Hung Tsang, Liang-Tien Chia, Pei...
ISHPC
1997
Springer
14 years 20 days ago
Implementing Iterative Solvers for Irregular Sparse Matrix Problems in High Performance Fortran
Abstract. Writing e cient iterative solvers for irregular, sparse matrices in HPF is hard. The locality in the computations is unclear, and for e ciency we use storage schemes that...
Eric de Sturler, Damian Loher