CAMPAIGN – Clustering Algorithms in Modular, Parallel, and Accelerated Implementation for GPU Nodes Kai J. Kohlhoff1, Marc Sosnick4, Vijay S. Pande2,3, and Russ B. Altman1,3 Departments of 1Bioengineering, 2Chemistry, - GeForce 500 series - Document - PDFSEARCH.IO

First Page	Meta Content
	CAMPAIGN – Clustering Algorithms in Modular, Parallel, and Accelerated Implementation for GPU Nodes Kai J. Kohlhoff1, Marc Sosnick4, Vijay S. Pande2,3, and Russ B. Altman1,3 Departments of 1Bioengineering, 2Chemistry, Add to Reading List Document Date: 2010-05-03 18:38:37 Open Document File Size: 1,34 MB Share Result on Facebook City Ischia / / Company Nvidia / GPU / Intel / / Country Italy / / Facility Stanford University / CAMPAIGN library / CAMPAIGN GPU library / San Francisco State University / / / IndustryTerm data analysis protocols / performance computing workshop / graphics processors / graphics hardware / typical clustering algorithm / interactive web tool / software package / / Organization National Institute of Health / Stanford University / San Francisco State University / / Position Liang MP / / Product Samsung NV40 Digital Camera / Samsung NV30 Digital Camera / / ProvinceOrState California / / SportsLeague Stanford University / / Technology Massively parallel Graphics processors / Discussion The algorithms / graphics processors / Methods Clustering algorithms / DNA Chip / API / gene expression / data analysis protocols / typical clustering algorithm / / SocialTag Graphics hardware CUDA GeForce Cluster analysis Graphics processing unit FLOPS K-means clustering GeForce 500 Series GPGPU Nvidia

CAMPAIGN – Clustering Algorithms in Modular, Parallel, and Accelerated Implementation for GPU Nodes Kai J. Kohlhoff1, Marc Sosnick4, Vijay S. Pande2,3, and Russ B. Altman1,3 Departments of 1Bioengineering, 2Chemistry, Add to Reading List