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» Expokit: A Software Package for Computing Matrix Exponential...
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SIAMJO
2008
93views more  SIAMJO 2008»
13 years 8 months ago
Smooth Optimization with Approximate Gradient
We show that the optimal complexity of Nesterov's smooth first-order optimization algorithm is preserved when the gradient is only computed up to a small, uniformly bounded er...
Alexandre d'Aspremont
DAM
2006
81views more  DAM 2006»
13 years 8 months ago
Equivalence-free exhaustive generation of matroid representations
Abstract. In this paper we present an algorithm for the problem of exhaustive equivalence-free generation of 3-connected matroids which are represented by a matrix over some finite...
Petr Hlinený
CPHYSICS
2007
222views more  CPHYSICS 2007»
13 years 8 months ago
JADAMILU: a software code for computing selected eigenvalues of large sparse symmetric matrices
A new software code for computing selected eigenvalues and associated eigenvectors of a real symmetric matrix is described. The eigenvalues are either the smallest or those closes...
Matthias Bollhöfer, Yvan Notay
IPPS
2010
IEEE
13 years 5 months ago
A simple thermal model for multi-core processors and its application to slack allocation
Abstract--Power density and heat density of multicore processor system are increasing exponentially with Moore's Law. High temperature on chip greatly affects its reliability,...
Zhe Wang, Sanjay Ranka
EUROPAR
2009
Springer
14 years 3 months ago
High Performance Matrix Multiplication on Many Cores
Moore’s Law suggests that the number of processing cores on a single chip increases exponentially. The future performance increases will be mainly extracted from thread-level par...
Nan Yuan, Yongbin Zhou, Guangming Tan, Junchao Zha...