KGPU is a GPU computing framework for the Linux kernel. It allows Linux kernel to call CUDA programs running on GPUs directly. The motivation is to augment operating systems with GPUs so that not only userspace applications but also the operating system itself can benefit from GPU acceleration. It can also free the CPU from [...]

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On April 14 and 15, the Keeneland project and the Georgia Tech NVIDIA CUDA Center of Excellence will present a two day tutorial on GPU heterogeneous processing for computational science.
Tutorial topics will include
Architectural overview and motivation
Introduction to CUDA
Introduction to OpenCL
[...]

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By Dan Olds, Gabriel Consulting
2010 was the breakout year for Nvidia’s Tesla division, according to Tesla VP Andy Keane, who spoke at the company’s Industry Analyst Day earlier this month. I think it’s pretty obvious that he’s right, and a quick review of the last year tells the story.
Three of the top five systems on [...]

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by Ryan Smith, AnandTech
It really doesn’t seem like it’s been all that long, but it’s been nearly a year and a half since NVIDIA has had a dual-GPU card on the market. The GeForce GTX 295 was launched in January of 2009, the first card based on the 55nm die shrink of the GT200 GPU. [...]

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Nvidia’s New CUDA Toolkit 4.0 Release Candidate (RC), and associated drivers, SDK code samples and documentation are now available for download from the CUDA Registered Developer Portal. If you are a registered developer, you can download it from here.
Here’s an NVIDIA presentation with the new features of CUDA 4.0.
CUDA 4.0 Overview [pdf]

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by Alexey Stepin , Yaroslav Lyssenko, Anton Shilov, XbitLabs
If you’ve been following the recent history of 3D graphics hardware, you should be aware that the GeForce GTX 480 card was not born easily. Nvidia’s first GPU with the Fermi architecture was released in a cut-down configuration. It is only at the end of 2010 that [...]

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by Andrew Humber
The growth of GPU Computing in HPC has continued unabated this year with many new milestones achieved. Hard to believe that it’s only been three and a half years since Tesla launched.
At the end of last year, we talked about how it felt like we had reached a “tipping point” with Tesla, [...]

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CUDA Toolkit 3.2 Production Release Features New and Improved Math Libraries
and Up To 30X Faster Performance than Latest MKL
Santa Clara, CA – November 17, 2010 – Today NVIDIA announced the availability of the CUDA Toolkit 3.2 production release, which provides significant performance increases, new math libraries and advanced cluster management features for developers creating next-generation [...]

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The newly released version of the Mathematica scientific number-crunching software allows users to enter calculations in plain English, the company announced Monday.
With Wolfram Research’s Mathematica 8, now available, the user can simply type in the desired calculation and the software will interpret the input and, presumably, return the correct answer. The company calls this feature [...]

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The epicenter of the GPU computing revolution has shifted this week to the San Jose Convention Center. It’s serving as home of this year’s GPU Technology Conference, where several thousand attendees are learning more about what researchers are doing on the GPU front from medical to video animation. In this video wrap-up from day one, [...]

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Unleash your productivity with Parallel Nsight (aka “Nexus”), NVIDIA’s new development environment for GPU Computing and graphics applications that use CUDA C, OpenCL, DirectCompute, Direct3D, or OpenGL.
Parallel Nsight introduces native GPU debugging and platform-wide performance analysis tools for both computing and graphics developers, fully integrated into Visual Studio 2008.
Use the powerful Nsight Debugger set breakpoints [...]

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In a move that cements its leadership position in development tools for GPU Computing, NVIDIA today announced the release of NVIDIA® Parallel Nsight™ software, the industry’s first development environment for GPU-accelerated applications that work with Microsoft Visual Studio.
NVIDIA has also released CUDA™ Toolkit 3.1, an update to its CUDA software development kit (SDK), available here.
“With [...]

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by John Gillooly
Opinion: NVIDIA is set to launch its first piece of DirectX 11 hardware, but game developers are still heavily focused on the five year old DirectX 9 API.
Over the past decade some of the most exciting developments in processors have come not from the CPU makers but the graphics guys. Graphics hardware [...]

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Release Highlights
* Support for the new Fermi architecture, with:
o Native 64-bit GPU support
o Multiple Copy Engine support
o ECC reporting
[...]

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Nvidia invites you to contribute to GPU Computing Gems, a contribution-based book that will focus areas on practical techniques for GPU computing in some key focus areas:
* scientific simulation
* video and image processing including compression
* engineering simulation
* computer vision
* numerical algorithms
* signal processing and audio processing
* life sciences
* interactive physics simulation and AI for games [...]

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NVIDIA Corp. announced today that it has recognized the University of Maryland as a CUDA Center of Excellence, placing it in an elite grouping of 9 other universities and research organizations worldwide. The university was selected for its pioneering use of GPU computing and the CUDA programming model across research and teaching efforts within multiple [...]

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The first textbook of its kind, Programming Massively Parallel Processors: A Hands-on Approach launches today, authored by Dr. David B. Kirk, NVIDIA Fellow and former chief scientist, and Dr. Wen-mei Hwu, who serves at the University of Illinois at Urbana-Champaign as Chair of Electrical and Computer Engineering in the Coordinated Science Laboratory, co-director of the [...]

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by Marco Chiappetta, HotHardware.com
At the Consumer Electronics Show, NVIDIA showed of a number of GF100 configurations, including single-card, and 2-way and 3-way SLI setups in demo systems. Each GF100 GPU features 512 CUDA cores, 16 geometry units, 4 raster units, 64 texture units, 48 ROPs, and a 384-bit GDDR5 memory interface. If you’re keeping count, [...]

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CAPS, a leading global provider of compiler technologies and engineering services for parallel hybrid
computing, has announced that Oak Ridge National Laboratory (ORNL) will use CAPS’ HMPP
compiler to leverage the computing power of a graphics processing unit (GPU)-based hybrid cluster.
As a world leader in high-performance computing (HPC), ORNL is preparing the future of next-
generation petascale computing [...]

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By Timothy Prickett Morgan
With Nvidia getting most of the attention when it comes to the use of graphics cards and GPU co-processors to boost the number-crunching capability of workstations and servers, it’s hard for Advanced Micro Devices to get a word in edgewise. Perhaps that’s why AMD waited until the holiday news dead zone to [...]

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