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» A Library for Pattern-based Sparse Matrix Vector Multiply
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FCCM
2006
IEEE
268views VLSI» more  FCCM 2006»
13 years 10 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...
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
MFCS
2010
Springer
13 years 2 months ago
Evaluating Non-square Sparse Bilinear Forms on Multiple Vector Pairs in the I/O-Model
We consider evaluating one bilinear form defined by a sparse Ny × Nx matrix A having h entries on w pairs of vectors The model of computation is the semiring I/O-model with main ...
Gero Greiner, Riko Jacob
CVPR
2012
IEEE
11 years 7 months ago
Robust late fusion with rank minimization
In this paper, we propose a rank minimization method to fuse the predicted confidence scores of multiple models, each of which is obtained based on a certain kind of feature. Spe...
Guangnan Ye, Dong Liu, I-Hong Jhuo, Shih-Fu Chang
KDD
2006
ACM
136views Data Mining» more  KDD 2006»
14 years 4 months ago
Very sparse random projections
There has been considerable interest in random projections, an approximate algorithm for estimating distances between pairs of points in a high-dimensional vector space. Let A Rn...
Ping Li, Trevor Hastie, Kenneth Ward Church