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» Parallel matrix algorithms and applications
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JPDC
2006
85views more  JPDC 2006»
13 years 10 months ago
Provable algorithms for parallel generalized sweep scheduling
We present provably efficient parallel algorithms for sweep scheduling, which is a commonly used technique in Radiation Transport problems, and involves inverting an operator by i...
V. S. Anil Kumar, Madhav V. Marathe, Srinivasan Pa...
ASAP
2006
IEEE
109views Hardware» more  ASAP 2006»
14 years 4 months ago
Describing Quantum Circuits with Systolic Arrays
In the simulation of quantum circuits the matrices and vectors used to represent unitary operations and qubit states grow exponentially as the number of qubits increase. For insta...
Aasavari Bhave, Eurípides Montagne, Edgar G...
ICML
2005
IEEE
14 years 10 months ago
Predictive low-rank decomposition for kernel methods
Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...
Francis R. Bach, Michael I. Jordan
ICASSP
2008
IEEE
14 years 4 months ago
Distributed average consensus with increased convergence rate
The average consensus problem in the distributed signal processing context is addressed by linear iterative algorithms, with asymptotic convergence to the consensus. The convergen...
Boris N. Oreshkin, Tuncer C. Aysal, Mark Coates
CORR
2011
Springer
157views Education» more  CORR 2011»
13 years 1 months ago
Large-Scale Convex Minimization with a Low-Rank Constraint
We address the problem of minimizing a convex function over the space of large matrices with low rank. While this optimization problem is hard in general, we propose an efficient...
Shai Shalev-Shwartz, Alon Gonen, Ohad Shamir