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» Sparse Matrix Multiplication Using UPC
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FPGA
2005
ACM
195views FPGA» more  FPGA 2005»
14 years 1 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
ICASSP
2011
IEEE
12 years 11 months ago
Multiple-Measurement Vector model and its application to Through-the-Wall Radar Imaging
This paper addresses the problem of Through-the-Wall Radar Imaging (TWRI) using the Multiple-Measurement Vector (MMV) compressive sensing model. TWR image formation is reformulate...
Jie Yang, Abdesselam Bouzerdoum, Fok Hing Chi Tivi...
ICCS
2001
Springer
14 years 6 hour ago
Optimizing Sparse Matrix Computations for Register Reuse in SPARSITY
Abstract. Sparse matrix-vector multiplication is an important computational kernel that tends to perform poorly on modern processors, largely because of its high ratio of memory op...
Eun-Jin Im, Katherine A. Yelick
FCCM
2005
IEEE
142views VLSI» more  FCCM 2005»
14 years 1 months ago
FPGA-Based Vector Processing for Solving Sparse Sets of Equations
The solution to a set of sparse linear equations Ax = b, where A is an n×n sparse matrix and b is an n-element vector, can be obtained using the W-matrix method. An enhanced vect...
Muhammad Z. Hasan, Sotirios G. Ziavras
CISS
2008
IEEE
14 years 2 months ago
On sparse representations of linear operators and the approximation of matrix products
—Thus far, sparse representations have been exploited largely in the context of robustly estimating functions in a noisy environment from a few measurements. In this context, the...
Mohamed-Ali Belabbas, Patrick J. Wolfe