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» Sparse matrix factorization on massively parallel computers
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DAC
2010
ACM
14 years 12 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 6 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 9 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
ICIP
2004
IEEE
16 years 1 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
16 years 19 days 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