Tesla GPU Webinar

Published on Saturday, 17 January 2009 19:00
Written by Douglas Eadline
Hits: 5299

Want to learn about GP-GPU computing? Want to stay parked in your chair at the same time? If you answered yes to these two questions, then head over Microway and register for a Microway and Nvidia Tesla GPU webinar. The webinar will be held January 22nd, 2009 at 11 AM PST, 2 PM Eastern Time.

Full Press Release follows:

Microway and Nvidia to Present Tesla GPU Webinar

January 22, 2009

Kingston, MA—January 15, 2009— Microway today announced its NVIDIA Tesla S1070-based high density Number Smasher® GPU-Clusters. This configuration, along with Microway’s WhisperStation™-PSC Tesla Personal Supercomputer, will be included in a special webinar Microway and Nvidia are hosting on January 22nd, 2009 at 11 AM PST, 2 PM Eastern.

The key presenter is Sumit Gupta, Ph.D., Senior Product Manager of Tesla GPU Computing at Nvidia. Dr. Gupta will present an in-depth talk on GPU Computing and the CUDA parallel programming model with support for OpenCL. Participants will learn about:

To Register for the GPU Webinar go here.

Microway’s early involvement in GPU computing over the past several years has earned them recognition from NVIDIA as a Tesla Preferred Provider and PartnerForce Premier partner. Microway’s Tesla PSCs and Clusters with the CUDA SDK are accelerating the “time-to-discovery” in many important HPC applications by 10x to 40x. GPU’s massive performance and power efficiency are transforming scientists’ approaches to applications in fields such as Molecular Dynamics, Quantum Chemistry, Computational Fluid Dynamics (CFD), Medical Imaging, Electromagnetics/Electrodynamics, Weather, Atmospheric and Ocean modeling, and Computational Finance.

Key benefits of each Tesla GPU include a massively multi-threaded architecture with 240 floating point processor cores, 933 GFLOPS Single Precision Floating Point throughput with support for Double Precision, and 4 GB High-Speed Memory at 102 GBytes/s bandwidth.

Recently, Microway built and delivered a 24 node computational cluster containing 48 Tesla GPUs for a large research laboratory with a performance rating of over 40 TFLOPS.

Whisperstation-PSC and NumberSmasher GPU-accelerated Linux clusters with high speed InfiniBand interconnect are available on Microway’s GSA contract. Custom configurations with Linux or Windows and a variety of disk and graphic options arrive at the customer’s site ready to run with CUDA installed. For more information visit www.microway.com/tesla.

About NVIDIA
NVIDIA (Nasdaq: NVDA) is the world leader in visual computing technologies and the inventor of the GPU. NVIDIA serves the high-performance computing market with its Tesla™ products. NVIDIA is headquartered in Santa Clara, California, with offices in Europe, Asia and the Americas. For more information, visit www.nvidia.com.

About Microway
Incorporated in 1982, Microway is a leader in the High Performance Computing market, designing state-of-the-art, high-end Linux clusters, servers, and data storage solutions. Users worldwide, pushing the limits of technology, who choose Microway include universities, life sciences, financial, military, Fortune 500s and research agencies. Microway partners with leading commercial software providers to include products such as SUSE and Red Hat Enterprise Linux, CUDA SDK, Intel, PathScale and PGI Compilers on its clusters, workstations and storage servers. Microway is an AMD Platinum Partner, Intel Premier Channel Partner, Nvidia PartnerForce Premier Member, Mellanox partner and Novell Gold Partner. Classified as a small business, woman owned and operated, Microway's GSA Contract Number is GS-35F-0431N. Microway, InfiniScope, FasTree, MPI Link-Checker, Navion, MCMS, NodeWatch, Quadputer, ServaStor, TriCom and WhisperStation are trademarks or registered trademarks of Microway, Inc. NVIDIA is a registered trademark and Tesla and CUDA are trademarks of NVIDIA Corporation. Intel is a trademark of Intel Corporation. AMD, the AMD Arrow logo, AMD Opteron, and combinations thereof, are trademarks or registered trademarks of Advanced Micro Devices, Inc. Other names are for informational purposes only and may be trademarks of their respective companies.

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