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CUDA Cleans up at Supercomputing Industry Awards
Posted by Julie Morgan, Monday December 08 2008 @ 07:40PM EST

Every year at the Supercomputing (SC) convention (http://sc08.supercomputing.org), the organizing committee and media partners give awards for outstanding high performance computing (HPC) research and achievements. This year, NVIDIA® Tesla™ GPUs and the NVIDIA CUDA™ architecture were recognized in multiple categories, a clear indicator that GPU Computing technology is making a real and significant impact in the HPC industry.

• The Best Student Paper Award went to Vasily Volkov and James W. Demmel of the University of California, Berkeley for "Benchmarking GPUs to Tune Dense Linear Algebra."

• In the ACM Best Graduate Student Poster, 1st place went to Akila Gothandaraman of the University of Tennessee, Knoxville, for "Acceleration of Quantum Monte Carlo Applications on Emerging Computing Platforms." David Dynerman of the University of Wisconsin-Madison secured 2nd place for his poster entitled: "CUSA and CUDE: GPU-Accelerated Methods for Estimating Solvent Accessible Surface Area and Desolvation." Both posters focused on advances made possible by the NVIDIA CUDA architecture. See David Dynerman talk about his work on YouTube: http://au.youtube.com/watch?v=9mQpws6jwZY.

• National Instruments LabVIEW Application was named Finalist in Supercomputing Analytics Challenge for their use of GPUs to develop real-time control for the European Extremely Large Telescope (E-ELT) See it on YouTube: http://au.youtube.com/watch?v=9mQpws6jwZY.

• And HPCWire, the most recognized and accessed news and information site covering the HPC industry, presented NVIDIA with its coveted Readers Choice Award for NVIDIA Tesla/CUDA.

NVIDIA CUDA technology continues to transform the HPC industry through providing scientists, researchers, engineers and developers access to the powerful and massively parallel processing architecture of the GPU through industry languages such as C, Fortran, Java and Python.

For more information on NVIDIA Tesla products, visit: www.nvidia.com/tesla and to watch more videos of real developers getting amazing results from NVIDIA GPU Computing technologies, visit www.youtube.com/nvidiatesla.

NVIDIA is the world leader in visual computing technologies and the inventor of the GPU, a high-performance processor which generates breathtaking, interactive graphics on workstations, personal computers, game consoles, and mobile devices. NVIDIA serves the entertainment and consumer market with its GeForce® graphics products, the professional design and visualization market with its Quadro® graphics products, and the high-performance computing market with its Tesla™ computing solutions products. NVIDIA is headquartered in Santa Clara, Calif. and has offices throughout Asia, Europe, and the Americas. For more information, visit www.nvidia.com.

< Progeniq Announces Acceleration of High-Performance Computing Applications Across Industries | NVIDIA Adds OpenCL to its Industry Leading GPU Computing Toolkit >



Cluster Monkey

HPC Community

Supercomputing 2010

- Supercomputing 2010 website...

- 2010 Beowulf Bash

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Appro: High Performance Computing Resources
IDC: Appro Xtreme-X Supercomputer Blade Solution
Analysis of the Xtreme-X architecture and management system while assessing challenges and opportunities in the technical computing market for blade servers.

Video - The Road to PetaFlop Computing
Explore the Scalable Unit concept where multiple clusters of various sizes can be rapidly built and deployed into production. This new architectural approach yields many subtle benefits to dramatically lower total cost of ownership.
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Multi-core processors provide a unique set of challenges and opportunities for the HPC market. Discover MPI strategies for the Next-Generation Quad-Core Processors.

Appro and the Three National Laboratories
[Appro delivers a new breed of highly scalable, dynamic, reliable and effective Linux clusters to create the next generation of supercomputers for the National Laboratories.

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