SpyderByte.com ;Technical Portals 
      
 News & Information Related to Linux High Performance Computing, Linux Clustering and Cloud Computing
Home About News Archives Contribute News, Articles, Press Releases Mobile Edition Contact Advertising/Sponsorship Search Privacy
HPC Vendors
Cluster Quoter (HPC Cluster RFQ)
Hardware Vendors
Software Vendors
HPC Consultants
Training Vendors
HPC Resources
Featured Articles
Cluster Builder
Beginners
Whitepapers
Documentation
Software
Lists/Newsgroups
Books
User Groups & Organizations
HP Server Diagrams
HPC News
Latest News
Newsletter
News Archives
Search Archives
HPC Links
ClusterMonkey.net
Scalability.org
HPCCommunity.org

Beowulf.org
HPC Tech Forum (was BW-BUG)
Gelato.org
The Aggregate
Top500.org
Cluster Computing Info Centre
Coyote Gultch
Dr. Robert Brown's Beowulf Page
FreshMeat.net: HPC Software
SuperComputingOnline
HPC User Forum
GridsWatch
HPC Newsletters
Stay current on Linux HPC news, events and information.
LinuxHPC.org Newsletter

Other Mailing Lists:
Linux High Availability
Beowulf Mailing List
Gelato.org (Linux Itanium)

LinuxHPC.org
Home
About
Contact
Mobile Edition
Sponsorship

Latest News

NVIDIA Unveils New Version of Award-Winning CUDA Software Development Tools
Posted by Julie Morgan, Wednesday November 14 2007 @ 01:09PM EST

Visit NVIDIA at SuperComputing 2007 (booth #478) and See CUDA and Tesla Products in Action

SUPERCOMPUTING 2007—RENO, NEVADA—NOVEMBER 14, 2007—NVIDIA is demonstrating the latest version of its award-winning C-compiler for GPU programming, CUDA™ 1.1, at the SuperComputing 2007 show. This latest version of the CUDA software suite includes support for 64-bit Windows XP and starting with the release of CUDA 1.1, NVIDIA’s standard display drivers will include the CUDA driver, eliminating the need to install specific software and enabling the seamless deployment of CUDA accelerated applications across multiple markets.

CUDA 1.1 for Windows is available today for free download from www.nvidia.com/cuda. CUDA 1.1 for Linux will be available Monday, November 19th.

Version 1.1 of the SDK also includes additional multi-GPU C source code examples enabling users to scale CUDA computations across multiple GPUs.

John Stone, senior research programmer at the University of Illinois at Urbana-Champaign (http://www.ks.uiuc.edu/Research/gpu/) commented: “Our scaling efficiency across multiple GPUs is near perfect – four GPUs are delivering almost exactly four-times performance increase in our calculations. A single GPU is delivering 290GFlops, scaling to 1.156 TFlops with four GPUs – this is scaling efficiency of around 99.7 percent.”

Also at SuperComputing 2007, NVIDIA is previewing a new CUDA debugger based on a standard GDB interface. The debugger enables the setting of break points, as well as setting/examining variables directly on the GPU, all through the C-language. The debugger also supports a standard DDD graphical interface and will allow popular third-party debuggers to seamlessly layer on top of CUDA.

< OptimaNumerics names John Parkinson as Chairman | Top Schools Adopt NVIDIA CUDA for Parallel Programming Courses >

 

Affiliates

Cluster Monkey

HPC Community


Supercomputing 2010

- Supercomputing 2010 website...

- 2010 Beowulf Bash

- SC10 hits YouTube!

- Louisiana Governor Jindal Proclaims the week of November 14th "Supercomputing Week" in honor of SC10!








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.
White Paper - Optimized HPC Performance
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.

AMD Opteron-based products | Intel Xeon-based products



Home About News Archives Contribute News, Articles, Press Releases Mobile Edition Contact Advertising/Sponsorship Search Privacy
     Copyright © 2001-2013 LinuxHPC.org
Linux is a trademark of Linus Torvalds
All other trademarks are those of their owners.
    
  SpyderByte.com ;Technical Portals