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» Multi-dimensional Sparse Matrix Storage
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SC
2003
ACM
14 years 19 days ago
Parallel Multilevel Sparse Approximate Inverse Preconditioners in Large Sparse Matrix Computations
We investigate the use of the multistep successive preconditioning strategies (MSP) to construct a class of parallel multilevel sparse approximate inverse (SAI) preconditioners. W...
Kai Wang, Jun Zhang, Chi Shen
CSE
2009
IEEE
13 years 10 months ago
A Comparative Study of Blocking Storage Methods for Sparse Matrices on Multicore Architectures
Sparse Matrix-Vector multiplication (SpMV) is a very challenging computational kernel, since its performance depends greatly on both the input matrix and the underlying architectur...
Vasileios Karakasis, Georgios I. Goumas, Nectarios...
ISCIS
2003
Springer
14 years 17 days ago
An Alternative Compressed Storage Format for Sparse Matrices
The handling of the sparse matrix vector product(SMVP) is a common kernel in many scientific applications. This kernel is an irregular problem, which has led to the development of...
Anand Ekambaram, Eurípides Montagne
ICPP
2009
IEEE
14 years 2 months ago
Perfomance Models for Blocked Sparse Matrix-Vector Multiplication Kernels
—Sparse Matrix-Vector multiplication (SpMV) is a very challenging computational kernel, since its performance depends greatly on both the input matrix and the underlying architec...
Vasileios Karakasis, Georgios I. Goumas, Nectarios...
ICMCS
2009
IEEE
250views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Efficient sparse self-similarity matrix construction for repeating sequence detection
This paper presents an efficient way to construct the self-similarity matrix, a popular approach, to detect repeating segments in music. Our proposed method extends the sparse suf...
Lei Wang, Chng Eng Siong, Haizhou Li