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ISNN
2007
Springer
15 years 4 months ago
Regularized Alternating Least Squares Algorithms for Non-negative Matrix/Tensor Factorization
Nonnegative Matrix and Tensor Factorization (NMF/NTF) and Sparse Component Analysis (SCA) have already found many potential applications, especially in multi-way Blind Source Separ...
Andrzej Cichocki, Rafal Zdunek
FCCM
2005
IEEE
142views VLSI» more  FCCM 2005»
15 years 3 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
ISCOPE
1999
Springer
15 years 2 months ago
Generic Graph Algorithms for Sparse Matrix Ordering
Fill-reducing sparse matrix orderings have been a topic of active research for many years. Although most such algorithms are developed and analyzed within a graph-theoretical frame...
Lie-Quan Lee, Jeremy G. Siek, Andrew Lumsdaine
IJHPCA
2007
88views more  IJHPCA 2007»
14 years 10 months ago
Performance Optimization and Modeling of Blocked Sparse Kernels
We present a method for automatically selecting optimal implementations of sparse matrixvector operations. Our software ‘AcCELS’ (Accelerated Compress-storage Elements for Lin...
Alfredo Buttari, Victor Eijkhout, Julien Langou, S...
FCCM
2006
IEEE
268views VLSI» more  FCCM 2006»
15 years 4 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...