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» The Structure of Sparse Resultant Matrices
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FPGA
2005
ACM
195views FPGA» more  FPGA 2005»
14 years 2 months ago
Sparse Matrix-Vector multiplication on FPGAs
Floating-point Sparse Matrix-Vector Multiplication (SpMXV) is a key computational kernel in scientific and engineering applications. The poor data locality of sparse matrices sig...
Ling Zhuo, Viktor K. Prasanna
TIT
2010
100views Education» more  TIT 2010»
13 years 3 months ago
Theoretical and empirical results for recovery from multiple measurements
The joint-sparse recovery problem aims to recover, from sets of compressed measurements, unknown sparse matrices with nonzero entries restricted to a subset of rows. This is an ex...
Ewout van den Berg, Michael P. Friedlander
SIAMREV
2010
90views more  SIAMREV 2010»
13 years 3 months ago
On the Block Triangular Form of Symmetric Matrices
We present some observations on the block triangular form (btf) of structurally symmetric, square, sparse matrices. If the matrix is structurally rank deficient, its canonical btf ...
Iain S. Duff, Bora Uçar
PARA
2004
Springer
14 years 2 months ago
Parallel Hybrid Sparse Solvers Through Flexible Incomplete Cholesky Preconditioning
Abstract. We consider parallel preconditioning schemes to accelerate the convergence of Conjugate Gradients (CG) for sparse linear system solution. We develop methods for construct...
Keita Teranishi, Padma Raghavan
ICASSP
2010
IEEE
13 years 8 months ago
Kronecker product matrices for compressive sensing
Compressive sensing (CS) is an emerging approach for acquisition of signals having a sparse or compressible representation in some basis. While CS literature has mostly focused on...
Marco F. Duarte, Richard G. Baraniuk