Free CUDA Movie Converter takes advantage of Nvidia's CUDA parallel processing technology to speed up video conversions in computers with CUDA-capable Nvidia graphics cards. Of course, Free CUDA Movie Converter works in any PC running Windows 2000 to 8, but running it on CUDA-capable machines lets you harness your GPU's extra processing power. We tried it on an ASUS Netbook running Windows 7 HP and equipped with Nvidia's CUDA-capable second-generation Ion graphics processor. This proved a great test platform since the Netbook's extremely limited resources make the GPU's help that much more welcome. Free CUDA … Read more
CUDA Video Converter is a software program for converting your videos into different formats, both video and audio. With clear user guidance and a simplified approach, this is one of the easier tools for reformatting and performing minor edits on your videos.
The interface is easy to understand. The key functions are all set out on a single page and it's easy enough to figure out how to get started with the instructions they offer on the program itself as soon as you startup. The features included the expected Conversion as well as, Clip, Merge and Edit. In our … Read more
Nvidia's Tegra chips will for the first time power a supercomputer--more evidence that ARM is movin' on up into Intel territory.
The chipmaker said today the Barcelona Supercomputing Center is developing a new hybrid supercomputer that, for the first time, combines energy-efficient Nvidia Tegra CPUs (central processing units), based on the ARM chip architecture, with Nvidia's graphics processing units (GPUs).
The supercomputing center plans to develop a system that is two to five times more energy-efficient compared with today's efficient high-performance computing systems. Most of today's supercomputers use Intel processors.
"In most current systems, CPUs … Read more
Nvidia and Advanced Micro Devices' ATI division are taking different approaches to graphics processing in the next generations of their products. Both strategies have strengths and weaknesses, and I think it's too soon to pick the eventual winner in this long-running fight.
Before I get into my analysis, I should say that Nvidia paid me to write a white paper on the implications of its new GPU architecture (code-named Fermi) for high-performance computing applications. The white paper was released as part of the Fermi launch event at Nvidia's GPU Technology Conference last week.
Nvidia also paid for white papers from two other well-known microprocessor analysts, Nathan Brookwood of Insight64 and my friend and former colleague Tom Halfhill of Microprocessor Report. UC Berkeley professor David Patterson wrote a fourth white paper, and Nvidia wrote one of its own. All of these works take a different approach to the subject; all are worth reading if you need to understand what Fermi is all about.
In short, I think the Fermi architecture has been more thoroughly white-papered than any graphics chip design in history. All five of these documents are available on the Fermi home page on Nvidia's Web site, and just in case that page is moved or changed, you're welcome to take advantage of my own mirror of my white paper.
I've spent much of the last several days reading these documents plus David Kanter's excellent article on Fermi over on his Real World Technologies site. David managed to get some details on Fermi that Nvidia didn't give to the rest of us.
I've also had time to go through the coverage of ATI's recent launch of the RV870, which is what Nvidia's Fermi-based chips will be competing against. The first of Nvidia's chips bears the internal code name of GF100, and it's huge. Here's a life-size photo:… Read more
Apple's Snow Leopard operating system, which hits the streets on Friday, has plenty of new technology--but one of its major new features will soon be available on Microsoft Windows, Linux, and other major platforms.
OpenCL, the Open Computing Language, was originally proposed by Apple to support parallel programming on GPUs. There are other GPU programming languages, such as Nvidia's CUDA (Compute Unified Device Architecture) extensions for C and the Brook stream program language developed at Stanford University and included in Advanced Micro Devices' Stream Computing software development kit, but rather than choosing one of these languages, Apple chose to create a new standard … Read more
First, we answer an e-mail sent by a very concerned listener of our language and subject matter. Then Dong tells a story of misunderstandings and mistaken identity...sort of.
Eric briefly talks about Nvidia CUDA and the headaches he had last week when trying to upgrade his video card. Dong gives advice on how to speed up your Windows PC. Finally, Eric has a run-in with a business owner involving quarters that goes to ridiculous levels.
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SANTA CLARA, Calif.--Apple's Worldwide Developers Conference is expected to cover the parallel tracks of Mac and iPhone software development, but the company may have another aspect of parallelism to discuss next week.
Nvidia CEO Jen-Hsun Huang, in an interview earlier this week, suggested that Apple might have plans for Nvidia's CUDA technology as part of the WWDC festivities next week. CUDA is a programming technology that allows software developers to take advantage of the unique parallel processing characteristics of graphics processors such as Nvidia's GeForce 8600M, found in the MacBook Pro. Nvidia released a beta version of CUDA for Mac OS X … Read more
The graphics processing unit (GPU) is in, the central processing unit (CPU) is out. That was one of the main themes running through the Nvidia fourth-quarter conference call earlier this week. Nvidia is the largest graphics chip supplier.
During the call on Wednesday, Jen-Hsun Huang, President and CEO of Nvidia, repeated one thing often: GPUs are playing more of a central role in PCs, CPUs less so. "The CPU has become fast enough for the vast majority of (PC) users," he said. "PC enthusiasts, gamers, and design professionals have know this for some time." The GPU … Read more
Welcome back to the ongoing Speeds and Feeds coverage of Hot Chips 19 at Stanford. They give us comfy chairs and free Wi-Fi, so blogging about it is the least I can do. By the way, Dean Takahashi of the San Jose Mercury News is also blogging from Hot Chips, so you can get another perspective on the event here.
Session 2 is the first of two sessions of "Multi-Core and Parallelism" presentations. This one happens to be all about Nvidia. Session 3, up next, will include presentations about AMD's ATI Radeon HD 2900, Intel's 80-core "Tera-Scale" processor, the TRIPS project at the University of Texas at Austin, and the Tile Processor from Tilera.
The first presentation in this session, "The Nvidia GeForce 8800 GPU," is an overview of that chip. As I mentioned in my Siggraph coverage, the 8800 includes 128… Read more