Parallel algorithms for singular value decomposition (SVD) have risen to prominence as an indispensable tool in high-performance numerical linear algebra. They offer significant improvements in the ...

Milpitas, Calif.— A singular value decomposition (SVD) core generator has been added to AccelChip Inc.'s AccelWare advanced math tool kit. Aimed at sensor array processing, the SVD core generator ...

MILPITAS, CA, June 1, 2005 – Building upon its recent releases of matrix inversion and factorization parameterized cores, AccelChip Inc., the industry’s only provider of automated flows from ...

Abstract: This article proposes a BP imaging algorithm based on L1-SVD sparse recovery to improve the efficiency of radar imaging. Although traditional BP imaging algorithms can provide ...

A new study evaluates three distinct algorithms—Band Shape Fitting (BSF), Three-band Fraunhofer Line Discrimination (3FLD), and Singular Vector Decomposition (SVD)—to retrieve far-red solar-induced ...

Abstract: In this work, we study how to implement a distributed algorithm for the power method in a parallel manner. As the existing distributed power method is usually sequentially updating the ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on an implementation of the technique that emphasizes simplicity and ease-of-modification over robustness and ...