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FCCM
2007
IEEE
165views VLSI» more  FCCM 2007»
13 years 7 months ago
Sparse Matrix-Vector Multiplication Design on FPGAs
Creating a high throughput sparse matrix vector multiplication (SpMxV) implementation depends on a balanced system design. In this paper, we introduce the innovative SpMxV Solver ...
Junqing Sun, Gregory D. Peterson, Olaf O. Storaasl...
ICASSP
2011
IEEE
12 years 9 months ago
Image editing based on Sparse Matrix-Vector multiplication
This paper presents a unified model for image editing in terms of Sparse Matrix-Vector (SpMV) multiplication. In our framework, we cast image editing as a linear energy minimizat...
Ying Wang, Hongping Yan, Chunhong Pan, Shiming Xia...
FCCM
2006
IEEE
268views VLSI» more  FCCM 2006»
13 years 11 months ago
Sparse Matrix-Vector Multiplication for Finite Element Method Matrices on FPGAs
We present an architecture and an implementation of an FPGA-based sparse matrix-vector multiplier (SMVM) for use in the iterative solution of large, sparse systems of equations ar...
Yousef El-Kurdi, Warren J. Gross, Dennis Giannacop...
CAP
2010
13 years 6 days ago
Parallel operations of sparse polynomials on multicores: I. multiplication and Poisson bracket
The multiplication of the sparse multivariate polynomials using the recursive representations is revisited to take advantage on the multicore processors. We take care of the memor...
Mickaël Gastineau
FPGA
2005
ACM
121views FPGA» more  FPGA 2005»
13 years 10 months ago
Floating-point sparse matrix-vector multiply for FPGAs
Large, high density FPGAs with high local distributed memory bandwidth surpass the peak floating-point performance of high-end, general-purpose processors. Microprocessors do not...
Michael DeLorimier, André DeHon