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ERSA
2010
199views Hardware» more  ERSA 2010»
13 years 2 months ago
Reconfigurable Sparse Matrix-Vector Multiplication on FPGAs
Cache-based, general purpose CPUs perform at a small fraction of their maximum floating point performance when executing memory-intensive simulations, such as those required for sp...
Russell Tessier, Salma Mirza, J. Blair Perot
ARC
2010
Springer
387views Hardware» more  ARC 2010»
13 years 11 months ago
Optimising Memory Bandwidth Use for Matrix-Vector Multiplication in Iterative Methods
Computing the solution to a system of linear equations is a fundamental problem in scientific computing, and its acceleration has drawn wide interest in the FPGA community [1–3]...
David Boland, George A. Constantinides
CVPR
2012
IEEE
11 years 7 months ago
Real time robust L1 tracker using accelerated proximal gradient approach
Recently sparse representation has been applied to visual tracker by modeling the target appearance using a sparse approximation over a template set, which leads to the so-called ...
Chenglong Bao, Yi Wu, Haibin Ling, Hui Ji
FCS
2006
13 years 6 months ago
New Approach To A Class Of Matrices
The displacement structure is extended to a Kronecker matrix W Z. A new class of Kronecker-like matrices with the displacement rank r, r < n will be formulated and presented. ...
Z. Chen
FOCM
2002
140views more  FOCM 2002»
13 years 4 months ago
Adaptive Wavelet Methods II - Beyond the Elliptic Case
This paper is concerned with the design and analysis of adaptive wavelet methods for systems of operator equations. Its main accomplishment is to extend the range of applicability...
Albert Cohen, Wolfgang Dahmen, Ronald A. DeVore