 NVIDIA And CRAY To Deliver Tesla-Enabled CRAY CX1 Desk Side Super Computer NVIDIA Corporation (Nasdaq: NVDA) and Cray (Nasdaq GM: CRAY) today announced the availability of NVIDIA Tesla C1060 GPU Computing processors in the new Cray CX1 line of supercomputers. 11/19/2008 DICE Puts Faith In NVIDIA PhysX Technology For Mirror's Edge In the award-winning videogame Mirror’s Edge™, DICE, an Electronic Arts Inc. studio, introduces players to a new heroine named Faith. 11/19/2008 NVIDIA Tesla Gives Bull Customers A Revolutionary Performance Boost Bull, a leading supplier of high performance computing (HPC) technologies, is partnering with NVIDIA to provide the Tesla™ S1070 GPU Computing System as the accelerator option for their HPC solutions. 11/19/2008 NVIDIA And NEC Collaborate To Deliver GPU Computing Solutions To HPC Market NVIDIA has announced today that it has begun a close collaboration with NEC to integrate NVIDIA® Tesla™ GPUs into its systems for the high performance computing (HPC) industry. 11/19/2008 NVIDIA Tesla TurboCharges High-Performance Computing Industry With HP Proliant Servers NVIDIA today announced that the Tesla™ S1070 Computing System is now being offered in the highly successful range of HP ProLiant servers. 11/19/2008 NVIDIA Tesla Makes Personal SuperComputing A Reality Today, scientific research is carried out on supercomputing clusters, a shared resource that consumes hundreds of kilowatts of power and costs millions of dollars to build and maintain. 11/18/2008 Mathematica Users Get 100x Performance Boost From NVIDIA CUDA At SC08, Wolfram Research will demonstrate a new version of Mathematica, the world’s most powerful general computational software, that integrates CUDA®, NVIDIA’s parallel GPU computing architecture. 11/18/2008 NVIDIA Demonstrates Powerful GPU Computing Solution From Lenovo At SC08 Today at SC08, NVIDIA demonstrated a Lenovo ThinkStation equipped with Tesla™ C1060 GPU Computing processing technology. 11/18/2008 Tokyo Tech Builds First Tesla GPU Based Heterogeneous Cluster To Reach Top 500 The Tokyo Institute of Technology (Tokyo Tech) today announced a collaboration with NVIDIA to use NVIDIA® Tesla™ GPUs to boost the computational horsepower of its TSUBAME supercomputer. 11/18/2008 OpenGeoSolutions Transforms Seismic Modeling With NVIDIA TESLA Geophysicists in the oil and gas industry are seeking more accurate images of what lies beneath the earth. In order to find what’s been buried for millions of years, Calgary-based OpenGeoSolutions uses a technique called “Spectral Decomposition” specifically to reveal geological information that goes beyond classic seismic resolution and detection. 11/18/2008 Nvidia’s $50 card destroys ATI’s $500 one or “Why ATI sucks in Folding?” The Bright Side of IT As you might already know, I am a bit enthusiastic when it comes to distributed computing. I’ve been looking for aliens through SETI@home, later with BOINC… but then, Folding@Home showed up and I became an enthusiast for this valuable project from Stanford University. 10/24/2008 Introduction, CPU and GPU differences Digit-Life Parallel computing has already entered the mass market and 3D games. Universal devices with multi-core processors for parallel vector computing in 3D graphics reach high peak performance, CPUs cannot keep up with it. 10/21/2008 Is Your Personal Computer A CUDA-Enabled Speed Merchant? Electronic Design Sometimes I don’t hear a rumble until it becomes a roar. I’m not sure if CUDA has become a roar yet, but my ears have perked up based on a bunch of announcements I’ve received over the past few months. If CUDA hasn’t registered on your radar yet, here’s a brief summary. 09/25/2008 GPUs Finding A New Role on Wall Street Electronic Design One of the new kids on Wall Street is GPU computing, a technology that is making inroads across nearly every type of HPC application. The vector processing capabilites of GPUs makes them especially well-suited to financial analytics. 09/22/2008 GPUs Finding A New Role on Wall Street HPCWire With clock speeds more or less stagnant now and the promise of multicore CPU scalability still a pipe dream, the data parallelism offered by GPUs is one way at least some applications can jump back on the performance curve. The way Hanweck sees it, "from a technology standpoint, GPUs are going to change the way the world works." 09/22/2008 Nvidia Chip Speeds Up Imaging for Industrial Use The New York Times Energy exploration firms, clothing designers, medical companies and financial services firms have also bought systems running on Nvidia chips. All of these companies share a common problem: they need hardware that can analyze a vast quantity of data and do it much faster than standard computers. 09/22/2008 CUDA, Supercomputing for the Masses: Part 8 Dr.Dobb’s Portal Optimized libraries often provide an easy way to improve performance of applications. When porting large legacy projects, libraries may be the only real way to optimize for a new platform because code changes would require extensive validation efforts. 09/19/2008 NVIDIA to Offer Its New Chips in the New Cray Desktop GigaOm After more than two years of pushing its scientific computing efforts, Nvidia’s graphics processors will be offered as an option in the newest line of Cray desktop supercomputers. The chipmaker plans to announce next week that its Tesla chips can be used in the $25,000 Cray desktop supercomputer, according to Nvidia spokesperson Andrew Humber. He said Nvidia has been in talks with Cray ever since the chipmaker announced its Tesla line of graphics processors in 2007, but that this is the first deal the two companies have inked. 09/16/2008 NCSA to add 62 teraflops of compute power with new heterogeneous system University of Illinois' National Center for Supercomputing Applications Installation has begun on a new computational resource at the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign. Lincoln will deliver peak performance of 62.3 teraflops and is designed to push the envelope in the use of heterogeneous processors for scientific computing. 09/08/2008 Agilent Collaborates with NVIDIA for Simulation Desktop Engineering Online Agilent Technologies Inc. announced its work with NVIDIA to accelerate signal integrity simulations using NVIDIA's CUDA-based GPUs. The association is expected to yield the commercial release of a GPU-enabled ADS Transient Convolution Simulator that will allow signal integrity designers to run these simulations faster than before. 09/02/2008 CUDA, Supercomputing for the Masses: Part 7 Dr.Dobb’s Portal CUDA and CUDA-enabled devices are co-evolving to deliver more performance and capability with each new generation. NVIDIA's recent introduction of the GeForce 200-series and Tesla 10-series of products, shows the rapidity of this evolution as roughly twice the hardware capability is now available at the same price point of the previous line of products plus the 200-series includes the addition of some valuable (and potentially indispensable) new features. 08/20/2008 NVIDIA's GeForce GPUs Used for More Than Graphics HPCwire New consumer application pack uses NVIDIA CUDA technology to improve performance beyond graphics on NVIDIA GeForce GPUs. Consumers want blazing fast performance -- whether blasting their way through the latest game or being socially responsible and sharing their PC's processing power to help find cures for diseases. 08/12/2008 Larrabee, CUDA and the quest for the free lunch TG daily Opinion – Intel unveiled some key details about its upcoming Larrabee accelerator/discrete graphics architecture earlier this week, sparking speculation how this new technology will stack up to what is already out there in the market. 08/06/2008 The Future Looks Bright for Teraflop Computing Scientific Computing Today's GPGPUs are offering a large number of computational cores with a local on-card memory space. A teraflop of commodity computing capability by today's standards is outstanding! In the relatively near future, it is likely that we will see new products and many-core chips from multiple vendors. If your software can transition to utilize these new platforms, the future is bright indeed.Happy teraflop computing! August 2008 NVIDIA Recognizes University Of Utah As A Cuda Center Of Excellence NVIDIA Corporation NVIDIA Corporation, the worldwide leader in visual computing technologies, and the University of Utah today announced that the university has been recognized as a CUDA Center of Excellence, a milestone that marks the beginning of a significant partnership between the two organizations. 07/31/2008 Processor Bifurcation Linux Magazine The processor market is diverging between two paths, the general and the predictable. Where does HPC hitch it’s wagon? 07/29/2008 CUDA, Supercomputing for the Masses: Part 6 Dr.Dobb’s Portal Astute readers of this series timed the two versions of the reverse array example discussed in Part 4 and Part 5 and were puzzled about how the shared memory version is faster than the global memory version. 07/25/2008 Parallel computing with GPUs InfoWorld Writing highly parallel code is hard, but many of us are going to need to learn to do it in the next few years, since computers are now getting more cores and bigger caches instead of faster clocks. Writing good parallel code for symmetric multi-processor computers with shared memory is hard enough, but when it becomes asymmetric, more than a little art is required. 07/25/2008 NVIDIA Accelerates the Search for a Cure HPCwire Stanford University's distributed computing program Folding@home has become a major force in researching cures to life-threatening diseases such as cancer, cystic fibrosis, and Parkinson's disease by combining the computing horsepower of millions of processors to simulate protein folding. 07/24/2008 NVIDIA Keeps It Interesting HPCwire NVIDIA is continuing to push hard on CUDA, the company's C-based software environment for GPU computing. With last month's announcement of the first CUDA Center of Excellence at the University of Illinois at Urbana-Champaign, NVIDIA said it donated half a million dollars to the school. 07/24/2008 Going to the Well Advanced Imaging Pro "3D visualization has revolutionized the understanding of seismic data, thanks to the performance provided by the GPU," said Jean Bernard Cazeaux, Vice President of the Visualization Sciences Group at Mercury Computer Systems. "GPUs allow much more than visualization; they provide amazing computing capabilities for interactive applications. Mercury has facilitated the interoperability of Open Inventor with NVIDIA's CUDA language, to provide application developers with a unique, integrated solution." 07/08/2008 Graphics Chips Help Supercomputers Become Commonplace ComputerWeekly.com The sight of supercomputers in every home and office may soon become a reality thanks to video games such as Grand Theft Auto. High-end 3D games need the fastest graphics chips to run well. This has driven graphics cards makers to build ever-faster cards, and performance from the graphics processor on these cards is hundreds of times faster than the processor in a standard PC. 07/07/2008 Desktop Supercomputing The Engineer Applications that have components of sequential and serial processing, such as transcoding digital video from one format to another divide the work between the CPU and the GPU to give about 20 times the performance of just using the CPU alone. 07/01/2008 CUDA, Supercomputing for the Masses: Part 5 Dr.Dobb’s Portal The local and global memory spaces are not cached which means each memory access to global memory (or local memory) generates an explicit memory access. So what does it cost to access (read or write, for example) each of the different memory types? 06/30/2008 Tesla 10 & CUDA 2.0: Technical Analysis & Performance - Page 1 Beyond 3D CUDA was announced along with G80 in November 2006, released as a public beta in February 2007, and then finally hit the Version 1.0 milestone in June 2007 along with the launch of the G80-based Tesla solutions for the HPC market. Today, we look at the next stage in the CUDA/Tesla journey: GT200-based solutions, CUDA 2.0, and the overall state of NVIDIA's HPC business. 06/26/08 GPGPUs Make Headway in Bioscience HPCWire We're also exploring bioinformatics applications, but the really great thing about the GPGPU and CUDA right now is that post-docs and universities are porting codes and putting them back into the public domain at an incredible rate. This means that the community effort can be used to leverage standard codes without a large investment. Everyone has a GPU, and CUDA can be gotten by just hitting the download button. 06/25/2008 More Details on Elemental's GPU Accelerated H.264 Encoder AnandTech Elemental's software, if it truly performs the way as seen here, has the potential to be a disruptive force in both the GPU and CPU industries. On the GPU side it would give NVIDIA hardware a significant advantage over AMD's GPUs, and on the CPU side it would upset the balance between NVIDIA and Intel. Video encoding has historically been an area where Intel's CPUs have done very well, but if the fastest video encoder ends up being a NVIDIA GPU -- it could mean that video encoding performance would be microprocessor agnostic, you'd just need a good NVIDIA GPU. 06/24/2008 Stanford releases beta Nvidia folding client The Tech Report “At last, Stanford University has released a beta version of the GPU2 Folding@home client for Nvidia graphics cards. You can grab the client from this post on the official FAH forums, although Stanford's Adam Beberg suggests users closely read the FAQ page to familiarize themselves with the software first.” 06/20/2008 NVIDIA, CUDA and PhysX EuroGamer “3D card manufacturers shouldn't take this the wrong way, but it takes a lot to make us crawl out of the communal Eurogamer bed (yes, all the Eurogamer writers share a single large bed - we do it for frugality and communality, which remain our watchwords) and go to a hardware presentation. There's a nagging fear someone may talk maths at us and we'd come home clutching the local equivalent of magic beans. And then we'll be laughed at by our fellow writers and made to sleep in the chilly end where the covers are thin and Tom left dubious stains. That's no fun at all.” 06/20/2008 Can you feel it? Linux Magazine All of this sounds very familiar to the great cluster disruption. Take a look at the enabling factors list above. Like clusters, the cost to get in the game is minimal. There are over 70 million CUDA enabled GPUs sitting in workstations out there. If you don’t have one, a the cost of a basic GeForce video card was less than $100. As for the software, it is freely available. NVidia, quite wisely, makes the CUDA C compiler available at no cost (and with no registration hassles). It is essentially the same cluster recipe, a low (or no) cost of entry, a possible big pay-off, and some spare time. 06/18/2008 NVIDIA's CUDA: The End of the CPU? Tom's Hardware CUDA is not a gimmick intended for researchers who want to cajole their university into buying them a GeForce. CUDA is genuinely usable by any programmer who knows C, provided he or she is ready to make a small investment of time and effort to adapt to this new programming paradigm. That effort won’t be wasted provided your algorithms lend themselves to parallelization. 06/18/2008 OptiTex to Use NVIDIA's CUDA Technology TenLinks.com "OptiTex' software is an ideal fit for NVIDIA as it leverages the combined personalities of our CUDA enabled GPUs - rich graphics and data intensive computation," said Andy Keane general manager of the GPU Computing business at NVIDIA. "OptiTex' software will deliver new levels of creative freedom for designers." 06/16/2008 NVIDIA Looking to Take Computing to the Next Level SFGate.com “NVIDIA released a new set of GPUs that not only boast a crazy amount of speed, but come with the promise of helping take on a larger set of tasks by delivering a lot more usable horsepower.” 06/16/2008 NVIDIA Releases 240-Core Graphics Processor eWeek.com “Tesla 10 series processor is Nvidia's latest offering for high-performance computing.” 06/16/2008 Nvidia and Stanford Finalizing Folding@Home Client for GeForce GPUs tgdaily “During Nvidia Editor's Day, we learned that Nvidia and the Folding@Home research group led by Vijay Pande are making final preparation to launch the first version of the Folding@Home client for Nvidia graphics processors.” 06/13/2008 Apple Eyeing NVIDIA's CUDA Technology? CNET “One of the most important performance challenges facing CUDA 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.” 06/06/2008 CUDA, Supercomputing for the Masses: Part 4 Dr.Dobb’s Portal “One of the most important performance challenges facing CUDA (short for "Compute Unified Device Architecture") developers is the best use of local multiprocessor memory resources such as shared memory, constant memory, and registers.” 06/03/2008 NVIDIA Processor Has New Niche Wall Street Journal CUDA was a breakthrough because it "makes things much, much easier for people developing applications because you no longer have to be a graphics expert," says Steve Briggs, vice president of systems integration at Headwave Inc., a Houston company that makes software that crunches seismic data for the oil-and-gas industry. 03/26/2008 |
