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» Sparse matrix factorization on massively parallel computers
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DAC
2010
ACM
14 years 9 months ago
Parallel multigrid preconditioning on graphics processing units (GPUs) for robust power grid analysis
Leveraging the power of nowadays graphics processing units for robust power grid simulation remains a challenging task. Existing preconditioned iterative methods that require inco...
Zhuo Feng, Zhiyu Zeng
ITNG
2007
IEEE
15 years 3 months ago
FPGA-based Vector Processing for Matrix Operations
A programmable vector processor and its implementation with a field-programmable gate array (FPGA) are presented. This processor is composed of a vector core and a tightly couple...
Hongyan Yang, Sotirios G. Ziavras, Jie Hu
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
15 years 6 months ago
Parallel Pairwise Clustering.
Given the pairwise affinity relations associated with a set of data items, the goal of a clustering algorithm is to automatically partition the data into a small number of homogen...
Elad Yom-Tov, Noam Slonim
82
Voted
ICIP
2004
IEEE
15 years 11 months ago
Shear-resize factorizations for fast multi-modal volume registration
Intensity-based methods work well for multi-modal image registration owing to their effectiveness and simplicity, but the computation for geometric transforms is a heavy load. To ...
Ying Chen, Pengwei Hao, Jian Yu
DAC
2004
ACM
15 years 10 months ago
Sparse transformations and preconditioners for hierarchical 3-D capacitance extraction with multiple dielectrics
Capacitance extraction is an important problem that has been extensively studied. This paper presents a significant improvement for the fast multipole accelerated boundary element...
Shu Yan, Vivek Sarin, Weiping Shi