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» Matrix algebra and applicative programming
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AMAST
2010
Springer
13 years 2 months ago
Type Fusion
Fusion is an indispensable tool in the arsenal of techniques for program derivation. Less well-known, but equally valuable is type fusion, which states conditions for fusing an app...
Ralf Hinze
PDP
2010
IEEE
14 years 2 months ago
Experimental Study of Six Different Implementations of Parallel Matrix Multiplication on Heterogeneous Computational Clusters of
—Two strategies of distribution of computations can be used to implement parallel solvers for dense linear algebra problems for Heterogeneous Computational Clusters of Multicore ...
Pedro Alonso, Ravi Reddy, Alexey L. Lastovetsky
ARCS
2008
Springer
13 years 9 months ago
An Optimized ZGEMM Implementation for the Cell BE
: The architecture of the IBM Cell BE processor represents a new approach for designing CPUs. The fast execution of legacy software has to stand back in order to achieve very high ...
Timo Schneider, Torsten Hoefler, Simon Wunderlich,...
KDD
2007
ACM
197views Data Mining» more  KDD 2007»
14 years 8 months ago
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
Jieping Ye, Shuiwang Ji, Jianhui Chen
SIAMJO
2008
114views more  SIAMJO 2008»
13 years 7 months ago
An Inexact SQP Method for Equality Constrained Optimization
We present an algorithm for large-scale equality constrained optimization. The method is based on a characterization of inexact sequential quadratic programming (SQP) steps that ca...
Richard H. Byrd, Frank E. Curtis, Jorge Nocedal