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» Geometry and the complexity of matrix multiplication
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FGCS
2008
127views more  FGCS 2008»
13 years 9 months ago
Monte Carlo methods for matrix computations on the grid
Many scientific and engineering applications involve inverting large matrices or solving systems of linear algebraic equations. Solving these problems with proven algorithms for d...
Simon Branford, Cihan Sahin, Ashish Thandavan, Chr...
COMPGEOM
2011
ACM
13 years 16 days ago
On the structure and composition of forbidden sequences, with geometric applications
Forbidden substructure theorems have proved to be among of the most versatile tools in bounding the complexity of geometric objects and the running time of geometric algorithms. T...
Seth Pettie
ICML
2004
IEEE
14 years 9 months ago
A multiplicative up-propagation algorithm
We present a generalization of the nonnegative matrix factorization (NMF), where a multilayer generative network with nonnegative weights is used to approximate the observed nonne...
Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh
EUROPAR
2005
Springer
14 years 2 months ago
Automatic Tuning of PDGEMM Towards Optimal Performance
Sophisticated parallel matrix multiplication algorithms like PDGEMM exhibit a complex structure and can be controlled by a large set of parameters including blocking factors and bl...
Sascha Hunold, Thomas Rauber
PDCAT
2009
Springer
14 years 3 months ago
Balanced Dense Polynomial Multiplication on Multi-Cores
Abstract— In symbolic computation, polynomial multiplication is a fundamental operation akin to matrix multiplication in numerical computation. We present efficient implementati...
Marc Moreno Maza, Yuzhen Xie