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» Wavelet based preconditioners for sparse linear systems
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SIAMSC
2008
134views more  SIAMSC 2008»
13 years 7 months ago
Efficient Solution of Anisotropic Lattice Equations by the Recovery Method
In a recent paper, the authors introduced the recovery method resp. local energy matching principle for solving large systems of lattice equations. The idea is to construct a part...
Ivo Babuska, S. A. Sauter
EUROPAR
2011
Springer
12 years 7 months ago
A Bit-Compatible Parallelization for ILU(k) Preconditioning
Abstract. ILU(k) is a commonly used preconditioner for iterative linear solvers for sparse, non-symmetric systems. It is often preferred for the sake of its stability. We present T...
Xin Dong 0004, Gene Cooperman
CIMAGING
2009
153views Hardware» more  CIMAGING 2009»
13 years 9 months ago
Dictionaries for sparse representation and recovery of reflectances
The surface reflectance function of many common materials varies slowly over the visible wavelength range. For this reason, linear models with a small number of bases (5-8) are fr...
Steven Lansel, Manu Parmar, Brian A. Wandell
TODAES
2008
104views more  TODAES 2008»
13 years 8 months ago
Wavelet-based dynamic power management for nonstationary service requests
The goal of dynamic power management is to reduce power dissipation in system level by putting system components into different states. This paper proposes a wavelet based approac...
Ali Abbasian, Safar Hatami, Ali Afzali-Kusha, Mass...
EUROPAR
2009
Springer
14 years 2 months ago
PSPIKE: A Parallel Hybrid Sparse Linear System Solver
The availability of large-scale computing platforms comprised of tens of thousands of multicore processors motivates the need for the next generation of highly scalable sparse line...
Murat Manguoglu, Ahmed H. Sameh, Olaf Schenk