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» High Performance Linear Algebra Package LAPACK90
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ICIP
2009
IEEE
13 years 5 months ago
Efficient reduction of support vectors in kernel-based methods
Kernel-based methods, e.g., support vector machine (SVM), produce high classification performances. However, the computation becomes time-consuming as the number of the vectors su...
Takumi Kobayashi, Nobuyuki Otsu
ASPLOS
2009
ACM
14 years 8 months ago
QR decomposition on GPUs
QR decomposition is a computationally intensive linear algebra operation that factors a matrix A into the product of a unitary matrix Q and upper triangular matrix R. Adaptive sys...
Andrew Kerr, Dan Campbell, Mark Richards
PARA
1995
Springer
13 years 11 months ago
ScaLAPACK Tutorial
Abstract. ScaLAPACK is a library of high performance linear algebra routines for distributed memory MIMD computers. It is a continuation of the LAPACK project, which designed and p...
Jack Dongarra, Antoine Petitet
IPPS
2010
IEEE
13 years 5 months ago
Tile QR factorization with parallel panel processing for multicore architectures
To exploit the potential of multicore architectures, recent dense linear algebra libraries have used tile algorithms, which consist in scheduling a Directed Acyclic Graph (DAG) of...
Bilel Hadri, Hatem Ltaief, Emmanuel Agullo, Jack D...
ICCCN
2007
IEEE
14 years 1 months ago
On Short Forward Error-Correcting Codes for Wireless Communication Systems
—For real-time wireless communications, short forward error-correcting (FEC) codes are indispensable due to the strict delay requirement. In this paper we study the performance o...
Sheng Tong, Dengsheng Lin, Aleksandar Kavcic, Baom...