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CORR
2006
Springer
93views Education» more  CORR 2006»
13 years 5 months ago
Sparse Matrix Implementation in Octave
David Bateman, Andy Adler
IWPC
1999
IEEE
13 years 9 months ago
The SPARAMAT Approach to Automatic Comprehension of Sparse Matrix Computations
Automatic program comprehension is particularly useful when applied to sparse matrix codes, since it allows to abstract e.g. from specific sparse matrix storage formats used in th...
Christoph W. Keßler, Craig Smith
JMLR
2012
11 years 7 months ago
NIMFA: A Python Library for Nonnegative Matrix Factorization
NIMFA is an open-source Python library that provides a unified interface to nonnegative matrix factorization algorithms. It includes implementations of state-of-the-art factoriza...
Marinka Zitnik, Blaz Zupan
ISHPC
1997
Springer
13 years 9 months 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
ICPP
2008
IEEE
13 years 11 months ago
Challenges and Advances in Parallel Sparse Matrix-Matrix Multiplication
We identify the challenges that are special to parallel sparse matrix-matrix multiplication (PSpGEMM). We show that sparse algorithms are not as scalable as their dense counterpar...
Aydin Buluç, John R. Gilbert