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» Fast Conjugate Gradients with Multiple GPUs
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ICCS
2009
Springer
13 years 12 months ago
Fast Conjugate Gradients with Multiple GPUs
The limiting factor for efficiency of sparse linear solvers is the memory bandwidth. In this work, we utilize GPU’s high memory bandwidth for implementation of a sparse iterative...
Ali Cevahir, Akira Nukada, Satoshi Matsuoka
PDP
2010
IEEE
13 years 10 months ago
A Parallel Preconditioned Conjugate Gradient Solver for the Poisson Problem on a Multi-GPU Platform
- We present a parallel conjugate gradient solver for the Poisson problem optimized for multi-GPU platforms. Our approach includes a novel heuristic Poisson preconditioner well sui...
Marco Ament, Günter Knittel, Daniel Weiskopf,...
ICML
2007
IEEE
14 years 6 months ago
Large-scale RLSC learning without agony
The advances in kernel-based learning necessitate the study on solving a large-scale non-sparse positive definite linear system. To provide a deterministic approach, recent resear...
Wenye Li, Kin-Hong Lee, Kwong-Sak Leung
3DIM
2005
IEEE
13 years 11 months ago
Fast Simultaneous Alignment of Multiple Range Images Using Index Images
This paper describes a fast, simultaneous alignment method for a large number of range images. Generally the most time-consuming task in aligning range images is searching corresp...
Takeshi Oishi, Atsushi Nakazawa, Ryo Kurazume, Kat...
SDM
2009
SIAM
162views Data Mining» more  SDM 2009»
14 years 2 months ago
Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.
We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using aux...
Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanish...