chimera.umiacs.umd.edu

Maryland CPU-GPU Cluster Infrastructure

Maryland CPU-GPU Cluster Infrastructure. The Maryland CPU-GPU Cluster is a unique computational infrastructure that leverages the synergistic cluster coupling of CPUs, GPUs, displays, and storage. Build upon the synergies afforded by coupling CPUs, GPUs (graphics processing units), displays, and storage. Driving Force: Evolution of GPUs into powerful, programmable, and inexpensive stream processors. Explore interleaved computation and display using multiple networks on the same cluster.

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Maryland CPU-GPU Cluster Infrastructure | chimera.umiacs.umd.edu Reviews

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Maryland CPU-GPU Cluster Infrastructure. The Maryland CPU-GPU Cluster is a unique computational infrastructure that leverages the synergistic cluster coupling of CPUs, GPUs, displays, and storage. Build upon the synergies afforded by coupling CPUs, GPUs (graphics processing units), displays, and storage. Driving Force: Evolution of GPUs into powerful, programmable, and inexpensive stream processors. Explore interleaved computation and display using multiple networks on the same cluster.

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1 chimera

2 motivation

3 facilities

4 research

5 people

6 publications

7 education

8 seminars

9 project goals

10 driving applications

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Maryland CPU-GPU Cluster Infrastructure | chimera.umiacs.umd.edu Reviews

https://chimera.umiacs.umd.edu

Maryland CPU-GPU Cluster Infrastructure. The Maryland CPU-GPU Cluster is a unique computational infrastructure that leverages the synergistic cluster coupling of CPUs, GPUs, displays, and storage. Build upon the synergies afforded by coupling CPUs, GPUs (graphics processing units), displays, and storage. Driving Force: Evolution of GPUs into powerful, programmable, and inexpensive stream processors. Explore interleaved computation and display using multiple networks on the same cluster.

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chimera.umiacs.umd.edu

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CPU-GPU Cluster at UMD

http://chimera.umiacs.umd.edu/details.html

Maryland CPU-GPU Cluster Infrastructure. General Programming model emerging. Maintained by: cluster at umiacs.umd.edu.

2

Maryland CPU-GPU Cluster - Facilities

http://chimera.umiacs.umd.edu/facilities.html

Maryland CPU-GPU Cluster Infrastructure. We have built a high-performance computing and visualization cluster that takes advantage of the synergies afforded by coupling central processing units (CPUs), graphics processing units (GPUs), displays, and storage. The cluster consists of the following hardware configuration:. Display wall of 25 Dell 30-inch 2560 x 1600 LCDs. 16 NVIDIA Tesla S1070 GPUs. 25 CPU/GPU display nodes. 36 CPU/GPU compute nodes. ONStor Network Attached Storage system (NAS). Users can r...

3

Publications

http://chimera.umiacs.umd.edu/publications.html

Maryland CPU-GPU Cluster Infrastructure. X Hao and A. Varshney. Geometry-guided computation of 3d electrostatics for large biomolecules. Journal of Computer-aided Geometric Design. 23(6):545-557, 2006. [ bib. D Juba and A. Varshney. Modelling and rendering large volume data with gaussian radial basis functions. 2007. [ bib. J H Jung and D. P. O'Leary. Cholesky decomposition and linear programming on a gpu. In. Workshop on Edge Computing Using New Commodity Architectures (EDGE). 2007 (accepted). [ bib.

4

Maryland CPU-GPU Cluster Infrastructure

http://chimera.umiacs.umd.edu/index.html

Maryland CPU-GPU Cluster Infrastructure. The Maryland CPU-GPU Cluster is a unique computational infrastructure that leverages the synergistic cluster coupling of CPUs, GPUs, displays, and storage. Build upon the synergies afforded by coupling CPUs, GPUs (graphics processing units), displays, and storage. Driving Force: Evolution of GPUs into powerful, programmable, and inexpensive stream processors. Explore interleaved computation and display using multiple networks on the same cluster.

5

Participants

http://chimera.umiacs.umd.edu/people.html

Maryland CPU-GPU Cluster Infrastructure. Shuvra S. Bhattacharyya. Michael P. Cummings. Larry S. Davis. Satyandra K. Gupta. Joseph F. JaJa. David M. Mount. Dianne P. O'Leary. Maintained by: cluster at umiacs.umd.edu.

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Maryland CPU-GPU Cluster Infrastructure

Maryland CPU-GPU Cluster Infrastructure. The Maryland CPU-GPU Cluster is a unique computational infrastructure that leverages the synergistic cluster coupling of CPUs, GPUs, displays, and storage. Build upon the synergies afforded by coupling CPUs, GPUs (graphics processing units), displays, and storage. Driving Force: Evolution of GPUs into powerful, programmable, and inexpensive stream processors. Explore interleaved computation and display using multiple networks on the same cluster.

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