Saturday, January 21, 2017
Search
  
Submit your own News for
inclusion in our Site.
Click here...
Breaking News
Apple Sues Qualcomm Over Patent Royalties
Sharp Establishes New Research and Development Center for Home Appliances in China
Samsung Seeks Arbitration Over LCD Supply Halt
Canon May Invest In Toshiba's Chip Business
Samsung To Explain What Caused The Galaxy Note 7's ban In Press Event
Nintendo's 'Fire Emblem Heroes' Smartphone Game features in-app Purchases
Fujifilm X-T20 Features New 24MP Sensor and 4K Video Capture
Samsung Begins Rollout of Android 7.0 Nougat
Active Discussions
Which of these DVD media are the best, most durable?
How to back up a PS2 DL game
Copy a protected DVD?
roxio issues with xp pro
Help make DVDInfoPro better with dvdinfomantis!!!
menu making
Optiarc AD-7260S review
cdrw trouble
 Home > News > PC Parts > Nvidia ...
Last 7 Days News : SU MO TU WE TH FR SA All News

Wednesday, November 19, 2008
Nvidia Promotes its CUDA GPU Computing Solutions


Nvidia and its partners today announced the availability of the GPU-based Tesla Personal Supercomputer, which delivers the equivalent computing power of a cluster, at 1/100th of the price and in a form factor of a standard desktop workstation.

At the core of this solution is the Tesla C1060 GPU Computing Processor which is based on the NVIDIA CUDA parallel computing architecture. CUDA enables developers and researchers to harness the parallel computational power of Tesla through industry standard C.

Tesla GPU-based Personal Supercomputers are priced like a conventional PC workstation, yet delivering 250 times the processing power, according to Nvidia. Available in configurations of up to 4 Tesla GPUs in a single system, Tesla Personal Supercomputers deliver up to 4 Teraflops of computing performance from up to 960 parallel processing cores.

The solution could give researchers the horsepower to perform complex, data-intensive computations right at their desk.

"GPUs have evolved to the point where many real world applications are easily implemented on them and run significantly faster than on multi-core systems," said Prof. Jack Dongarra, director of the Innovative Computing Laboratory at the University of Tennessee and author of LINPACK. "Future computing architectures will be hybrid systems with parallel-core GPUs working in tandem with multi-core CPUs."



Institutions including MIT, the Max Planck Institute, University of Illinois at Urbana-Champaign, Cambridge University, and others are already advancing their research using GPU-based personal supercomputers.

At SC08, Wolfram Research will demonstrate a new version of Mathematica that integrates the CUDA parallel GPU computing architecture. This new version is expected to give Mathematica users a performance increase of 10-100X in numerical computing, modeling, simulation and visual computations, without the need to learn or write C code. The CUDA accelerated version of Mathematica is expected to be available in Q1 2009.

Dell has also announced the Precision R5400 and T7400 systems that are based on the Tesla C1060 GPU. Lenovo is offering the D10 ThinkStation equipped with Tesla C870 GPU. Similar solutions are expected from Nvidia's partners.


Previous
Next
BIOSTAR Launches TPower X58        All News        DoCoMo, KTF to Sell New Google Phone Next Year
BIOSTAR Launches TPower X58     PC Parts News      Toshiba Introduces 500GB 2.5-inch Hard Disk Drive with Quiet Acoustics

Get RSS feed Easy Print E-Mail this Message

Related News
NVIDIA Announces the G-SYNC HDR Technology
CES: Nvidia Announces New SHIELD TV, GeForce NOW service, AI Car Projects
Tesla And Panasonic Start Battery Cell Production At The Gigafactory
Nvidia's GeForce GTX 1050 and 1050 Ti GPUs Bring Desktop-level Gaming to Laptops
Tesla and Panasonic Will Begin Manufacturing Solar Cells and Modules in Buffalo
Samsung To Design And Make Chips For Tesla Cars
Nvidia GTX 1050 And 1050 Ti Graphics Coming To Laptops Next Year
Free Game Bundles For GeForce and Radeon Graphics Cards
Nvidia Was The Sole GPU Maker That Increased Its GPU Shipments In Q3 2016
IBM and NVIDIA Team Up on New Platform For Deep Learning
Nvidia Reports Strong Revenue
Tesla Is Buying Grohmann Engineering To Form Tesla Advanced Automation Germany

Most Popular News
 
Home | News | All News | Reviews | Articles | Guides | Download | Expert Area | Forum | Site Info
Site best viewed at 1024x768+ - CDRINFO.COM 1998-2017 - All rights reserved -
Privacy policy - Contact Us .