09/30/2009 NVIDIA Takes GPU Computing to the Next Level
GPU Computing 2.0 is upon us. At the NVIDIA GPU Technology Conference in San Jose, Calif., company CEO Jen-Hsun Huang unveiled a seriously revamped graphics processor architecture representing the biggest step forward for general-purpose GPU computing since the introduction of CUDA in 2006. The stated goal behind the new architecture is two-fold: to significantly boost GPU computing performance and to expand the application range of the graphics processor.
09/30/2009 Nvidia's 'Fermi' GPU Architecture Revealed
GPU computing grabs center stage
Graphics processors have been at the center of an ongoing conversation about the future of computing. Nvidia has chosen to reveal the first information about its next-generation GPU architecture at the opening of its GPU Technology Conference. That architecture, code-named Fermi, has a number of computing features never before seen in a GPU.
09/28/2009 NVIDIA Collaborates with Microsoft on GPU Computing
NVIDIA has announced recent work with Microsoft to promote NVIDIA Tesla GPU computing systems using the Windows HPC Server 2008 operating system.
09/28/2009 Nvidia Teams Up with Microsoft for HPC
Nvidia is to work with Microsoft to use its Tesla GPUs for high performance parallel computing using the Windows HPC Server 2008 operating system.
09/02/2009 Reliable Memory: Coming to a GPU Near You
GPUs are becoming more like CPUs. But in the critical area of error corrected memory, graphics hardware still lags. The lack of error correction is probably the single biggest factor that makes users of GPUs for high performance computing nervous. The good news is that graphics chip vendors are aware of the problem and it appears to be only a matter of time before GPUs get a memory makeover.
08/25/2009 Multicore Designs Keep Up With Moore's Law
The transistor count keeps following Moore’s Law. But unless you’re at the low end of the 32-bit spectrum or below, multicore is the only alternative to more powerful platforms.
07/20/2009 PGI’s Latest Compilers Aimed at x64+GPU Programming
I was struck by the diversity of vendors and partners exhibiting technology based on NVIDIA’s GPUs at ISC last month in Germany. At least 19 companies were offering products that use, facilitate, or support GPUs as part of a larger solution, including everyone from OS and library providers to HPC system vendors.
07/20/2009 NEC Cluster Ranks High on Green500
Installed at the High Performance Computing Center Stuttgart (HLRS), the new NEC LX-2400 HPC Cluster is supplemented by 32 NVIDIA Tesla GPU Computing Servers and delivers 273 MFLOPS per watt.
07/19/2009 NVIDIA Tesla C1060 Computing Processor
If you remember the long gone legendary parallel computing elements known as Transputers, behold.. they have been revived.. NVIDIA have come up with a supercomputing processor that plugs into a PCI-Express slot and gives your computer an astonishing performance capability of more than 933 GFLOPS.
07/16/2009 Cray Adds CX1 Variant to Entice First Time HPC Users
Putting a Cray supercomputer in your office just got a lot cheaper. The company has unveiled a low-end derivative of its CX1 personal deskside system for high performance computing.
07/15/2009 3D Seismic Data: Taking a Smarter Approach to Interpretation
The demand for computational tools to underpin the 3D seismic interpretation process has never been more apparent.
07/14/2009 Faster, Better, Stronger: Speeding Up Medical Imagery
It is absolutely amazing to think about what computers can do nowadays. Just recently, Nvidia produced the Tesla, which brings supercomputing to the level of personal computing. A supercomputer can now sit on a desk, instead of taking up a whole room.
07/10/2009 Moore's Law and GPUs
Way back when, Gordon Moore of Intel came up with his "law" that the number of transistors on a given area of silicon would double every 18 months. There is a lot of punditry around these days about how Moore's Law is slowing down.
07/09/2009 3D Seismic Data: Taking a Smarter Approach to Interpretation
There is a huge and growing mountain of seismic data - new and archived material requiring reprocessing - out there. To interpret it means that the demand for computational tools to underpin the 3D seismic interpretation process throughout the E&P (exploration and production) workflow has never been more apparent.
07/01/2009 Drilling for Fuel
HPC technology is aiding oil and gas companies locate hidden submarine reserves in a fraction of the time taken by previous methods.
06/30/09 Penguin Computing Delivers University Of Delaware’s Fastest Supercomputer to Global Computing Laboratory
Penguin Computing announced that the University of Delaware Global Computing Laboratory has deployed the university’s largest supercomputer, code-named “Geronimo”, based on a custom GPGPU design utilizing NVIDIA Tesla GPU computing technology coupled with Intel 5400 series processors.
06/23/09 PGI and NVIDIA Team To Deliver CUDA Fortran Compiler
The Portland Group announced an agreement with NVIDIA under which the two companies plan to develop new Fortran language support for CUDA GPUs.
06/22/09 Supermicro and NVIDIA Smash 1U Server Performance Records at International SuperComputing (ISC) 2009
Super Micro Computer, Inc. is showcasing the fastest 1U server on the planet, its new, 2-Teraflop SuperServer 6016GT-TF-TM2 at ISC'09. This massively parallel processing dual-GPU server is the first 1U multi-GPU (graphics processing unit) system with a fully non-blocking architecture.
06/19/09 AMAX Launches Tesla GPU Testing Lab
AMAX has established a GPU parallel computing lab for inquiring HPC customers to experience Tesla's revolutionary performance. The GPU systems available for remote testing are ready equipped with the CUDA programming environment. AMAX's knowledgeable CUDA engineers are available for immediate consultation.
06/16/2009 Bull Makes Big Push Into HPC with New Supercomputer Blades
French-owned computer maker Bull has unveiled a new family of HPC servers based on a novel blade architecture. Branded as "bullx," the blades come in two flavors: CPU-only and GPU-accelerated. Both versions are based on dual-socket Nehalem EP (Xeon 5500) nodes, but the accelerator blades include up to two NVIDIA Tesla M1060 GPUs on board.
06/15/09 CAPS to Launch CAPS Compute Lab with BULL and NVIDIA
CAPS Entreprise announces the launch of its CAPS Compute Lab, a first and exclusive EMEA solution center for hybrid computing with both BULL and NVIDIA partners.
06/11/2009 Standard GPU Cluster Provides High Performance In The Mid-Range (page 25)
Supercomputing continues to get faster, cheaper, and more available. Costs are dropping rapidly partially because of graphics processing units (GPUs) and their highly parallel architecture.
06/08/09 Allinea to Enhance DDT Debugging Tool for GPGPU Hybrid through collaboration with CEA
Allinea Software has signed a collaboration agreement with CEA to develop enhancements to Allinea's Distributed Debugging Tool for next generation hybrid and "many-core" computer systems. Once developed, this technology will be made available to Allinea's customers.
06/01/2009 NVIDIA, Supermicro Give Birth to CPU-GPU Server
Until now, the only practical way for customers to get GPU-accelerated clusters was to combine NVIDIA's own S1070 Tesla servers with x86 CPU servers from a traditional system vendor. Before May, the onus was on the users to configure the Tesla and x86 boxes themselves. But on May 4, NVIDIA launched its pre-configured cluster program, which brought in OEM partners to construct these mixed-processor clusters, allowing customers to purchase pre-built GPU-accelerated systems
06/01/2009 NVIDIA and Supermicro Announce Server with Integrated Tesla Hardware
Supermicro and NVIDIA have announced a new line of server-based machines with integrated Tesla GPUs. The Supermicro SuperServer 6016T-GF-TM2 is a single, 1U chassis with an integrated NVIDIA Tesla GPU. The new server line is marketed towards those looking to make use of NVIDIA’s CUDA programming paradigm designed for massively parallel computing on their GPUs.
06/01/2009 Nvidia, Supermicro Tout 'Highest-Perfomance 1U Server'
Nvidia and SuperMicro will team up on a 1U server that combines two CPUs and two GPUs, all to be used for computational-intensive algorithms. The two will claim that the SuperServer 6016, due in June, is the world's fastest 1U server, according to Andy Walsh, the director of product marke ting for Nvidia.
06/01/2009 New GPU-based SuperServer delivers 12X more computing power
NVIDIA and Supermicro today announced the immediate availability of a new class of server that combines massively parallel NVIDIA Tesla GPUs with multi-core CPUs in a single 1U rack-mount server. This unique configuration delivers 12 times the performance of a traditional quad-core CPU-based 1U server. Supermicro will be demonstrating the NVIDIA Tesla-based SuperServer 6016T-GF-TM2 at Computex 2009 in Taiwan this week.
05/31/2009 Supermicro launches Nvidia Tesla fueled server
Supermicro and Nvidia took the wraps off a class of server that’s turbo charged by graphics processors. At the Computex trade show in Taiwan, Supermicro is demonstrating a server that features Nvidia’s Tesla GPUs with multi-core processors in a single 1U rack server.
05/07/2009 Dell "Personal Supercomputers" Now Available With NVIDIA Tesla GPUs
If you’re worried that just one of these GPUs isn’t enough to handle your hardcore needs, worry not – just one C1060 has enough power to control the main system of the European Extremely Large Telescope project (reportedly the world’s largest).
05/06/2009 Tesla-Based Clusters, Workstations Shipping
Needless to say, there's a lot of power going on whether it's a Tesla-charged Dell Precision workstation, or a Tesla Preconfigured Cluster from NVIDIA.
05/06/2009 French Bank Takes On GPU Computing
Using just two of the four GPUs on an NVIDIA S1070 board, they were able to achieve a 15-fold performance increase and a 100-fold power improvement in performance per watt in this one procedure.
05/04/2009 NVIDIA Shifts GPU Clusters Into Second Gear
The good news is that in the GPU computing realm, NVIDIA is the clear market leader.
05/05/2009 Introducing the personal supercomputer’s big brother: NVIDIA’s Tesla preconfigured clusters
NVIDIA’s new Tesla project is the Preconfigured Cluster, which the company calls “Accessible Supercomputing,” and it follows the model of the Personal Supercomputer project.
05/05/2009 Incremental Twiddling
As GPU Clusters hit the market, users are finding small code changes can result in big rewards.
04/30/2009 The Supercomputer Goes Personal
Today, graphics titan NVIDIA advertises its new workstation, the Tesla, as a “personal supercomputer.” It clusters four NVIDIA C1060 processing boards, each of which unites 240 graphics cores to process instructions at nearly teraflops speeds. We calculate it as about 17 percent more cost-effective than Khanna’s PS3 solution, and a lot more elegant.
04/27/2009 NVIDIA's graphic chips moving into high-end computing arena
Tesla is NVIDIA's bold move to stretch its business well beyond graphics. With considerable software development and some hardware tweaking, NVIDIA can turn advanced graphics chips into powerful number-crunching engines that can attack some of the same parallel-processing problems that cluster computers and even low-end supercomputers go after.
04/22/2009 BNP Paribas will use NVIDIA for its GPU solution but competition in the market is set to open up
NVIDIA actually implemented an architecture for GPU computing in CUDA, while the programming environment that developers can then use to access that capability is called C with CUDA extensions.
04/13/2009 BNP Speeds Risk Calculations With Hardware Acceleration
BNP Paribas, moving to bolster its computational power, has implemented a new technology platform designed to not only accelerate calculation times for complex equity derivatives but also slash energy consumption.
04/11/2009 Collaboration Leads to Success: Most Powerful Computer of its Kind in WNY Available World-Wide
Professor Jack Dongarra, one of the foremost authorities on high-end computing and director of the Innovative Computing Laboratory at the University of Tennessee said, “GPUs have evolved to the point where real-world applications are easily implemented on them and run faster than on multi-core systems. Future computing architectures will be hybrid systems with parallel-core GPUs working in tandem with multi-core CPUs.”
04/09/2009 Programming The CUDA Architecture: A Look At GPU Computing
Graphics processing units (GPUs) were originally designed to perform the highly parallel computations required for graphics rendering. But over the last couple of years, they’ve proven to be powerful computing workhorses across more than just graphics applications.
04/01/2009 GPUs: Here to Stay
The fact that GPU chipmaker NVIDIA has made porting code for GPUs easier for the average bench biologist with its CUDA software technology helps the argument for considering this breed of acceleration technology.
03/30/2009 STFC Daresbury Laboratory to Use Streamline Computing Cluster
Daresbury Laboratories, one of the UK’s most prestigious publically funded research institutes, has announced its new computing cluster will incorporate NVIDIA Tesla and CUDA technology. The mission of Daresbury Labs is to make it possible for a broad range of scientists to do the highest quality research tackling some of the most fundamental scientific questions.
03/25/2009 NVIDIA's Lock on GPU Computing Can Be Picked
In the HPC space, GPU computing is the most compelling technology to come on the scene in recent memory, and NVIDIA has jumped out to an early lead. Because of CUDA and some hardware innovations, NVIDIA is probably at least a year ahead of AMD and two years ahead of Intel (Larrabee) on this front.
03/24/2009 Lenovo Refreshes Workstations With Desktop Supercomputer
Lenovo on Tuesday refreshed its workstation line with two computers available with the Nvidia Tesla C1060 platform for companies looking to turn the systems into desktop supercomputers.
03/12/2009 Penguin Computing Unveils Pre-Configured Clusters
Hoping to make graphical processing unit- (GPU) based computing appealing to a wider audience, Penguin Computing has unveiled two pre-configured Nvidia Tesla and AMD-based clusters.
03/6/2009 The Coming of the Megacomputer
Here's an incredible, and telling, data point. In a talk yesterday, reports the Financial Times' Richard Waters, the head of Microsoft Research, Rick Rashid, said that about 20 percent of all the server computers being sold in the world "are now being bought by a small handful of internet companies," including Microsoft, Google, Yahoo and Amazon.
03/2/2009 Analytical Visualization Uncovers More Detail
You might have noticed that high-end visualization is getting better looking. You’ll see translucency, transparency—even texture mapping—to place an image of the actual design (e.g., a circuit board) onto the simulation model.
12/05/2008 Personal Supercomputers Look Suitable for Quants
Nvidia and its systems partners are rolling out GPU-based systems for compute-intensive applications in scientific and technological research, which could also be relevant in the financial markets in areas such as quantitative algorithm development.
12/03/2008 Accessibility and green issues dominate SC08 (link)
Many booths at this year's SC08 conference in Austin, Texas, highlighted the accessibility and ease of use of their products, as well as just how power efficient these products were. Among those targeting non-IT specialists were Cray and Nvidia.
11/26/2008 Computed Tomography Software Taps Into NVIDIA GPUs
The growing adoption of high performance computing on small scale clusters by companies from all segments of the economy is driven by the same forces that led HPC to become an integral part of the fabric of science and engineering decades earlier: HPC helps users get things done they just couldn’t do before.
11/26/2008 Computers tap into the power of graphics cards
Graphics cards aren't just for games anymore. Long a tool for faster and more intense video game play, computer processors now harness the power of graphics cards for many new applications. Consumers tap graphics-card power for crisper video and faster photo processing. Scientific researchers use it to find oil, simulate brain waves and forecast weather.
11/26/2008 Tokyo Tech Upgrades with Tesla
The Tokyo Institute of Technology announced last week that they have upgraded their latest cluster supercomputer, Tsubame, with NVIDIA Tesla GPU accelerators. Specifically, the group added 170 NVIDIA S1070 1U nodes to the cluster. Wowzers.
11/19/2008 NVIDIA Launches Tesla Personal Supercomputer
The Tesla personal supercomputer is claimed to offer up to 250 times the performance of a standard PC or workstation, yet remains small enough to sit on an office desk and plug into a standard power strip.
11/19/2008 NVIDIA to offer parallel tech for mobile devices
NVIDIA announced Tuesday a GPU-based Tesla Personal Supercomputer, which it said uses its Tesla GPUs and CUDA to deliver the power of a cluster of computers at a fraction of the cost, in the form factor of a standard desktop workstation. Among the computer makers offering Tesla Personal Supercomputers are Dell, Lenovo, Asus, and Western Scientific.
11/19/2008 NVIDIA Gets into SuperComputer Biz
Graphics developer NVIDIA has been talking for years about harnessing the processing power of its GPU designs for purposes other than splattering alien entrails across gamers' screens, and the company has finally unveiled its plans at the SuperCompute 2008 with the GPU-based Tesla Personal Supercomputer, which claims to deliver 250 times the processing power of a typical PC workstation…yet still maintain the workstation price tag.
11/19/2008 NVIDIA Launches Tesla Supercomputer
NVIDIA is looking to change the way people thing about supercomputing with the introduction of its new Tesla Personal Supercomputer. NVIDIA claims that its GPU-based Tesla Supercomputer is capable of delivering the computing power of a cluster at 1/100th of the price.
11/19/2008 NVIDIA Corp. releases the Tesla C1060 GPU Processor
Most computer cluster will run a 100 times the cost of one of the Tesla-powered workstations. The Tesla C1060 card, available on computers Tuesday, will sell for $1,699, with desktop computer systems including the card selling for less than $9,995.
11/19/2008 Tesla GPUs boast Cluster Class performance on the desktop while using tenth the power
Leading 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.
11/18/2008 NVIDIA's Tesla deskside supercomputer returns as a PC
PC vendors such as Dell will soon begin selling desktop supercomputer built around NVIDIA’s Tesla floating point accelerators. Priced around $10,000, these PCs may look innocent, but they pack serious horsepower – a theoretical maximum of 4 TFlops of single-precision processing.
11/18/2008 NVIDIA Strengthens Scientific Computing Offerings With An Eye On Intel’s Larrabee
Nividia said Tuesday that it has added to its product arsenal for the scientific computing market with a design that packages three or four graphics processors in a high-performance computer workstation.
11/18/2008 NVIDIA Details ‘Personal Supercomputer` Design Based on Tesla GPU
NVIDIA is looking to bring the power of a supercomputer cluster to the desktop. At the 2008 Supercomputing Conference in Austin, Texas, NVIDIA will demonstrate a new HPC (high-performance computer) design that will allow OEMs to pack between two and four NVIDIA GP-GPUs (general purpose graphics processing units) with a workstation form factor.
11/18/2008 NVIDIA bows Tesla Personal Supercomputer
NVIDIA on Tuesday announced the availability of its GPU-based Tesla architecture Personal Supercomputer, which, the company promises, has as much as 250 times the computing performance of a PC thanks to NVIDIA CUDA parallel computing architecture and up to 960 parallel processing cores.
11/18/2008 NVIDIA Tesla creates the personal supercomputer
NVIDIA announced the availability of the GPU-based Tesla Personal Supercomputer, these systems feature up to four Tesla C1060 graphics cards with 4GB GDDR3 memory each and can deliver a single-precision computing power of 4 teraFLOPS for under $10,000! System builders can compose their own systems, but NVIDIA recommends a quad-core processor as well as 16GB of memory.
11/18/2008 Nvidia's Tesla is desktop supercomputer
SUPERCOMPUTERS are especially trendy this week after SC08, but it seems even regular desktops could soon be getting the super treatment with computer makers like Dell seriously mulling the possibility of a PC built around Nvidia’s Tesla floating point accelerators.
11/18/2008 NVIDIA announces cost, energy-saving Tesla Personal Supercomputer
AMD has already outlined its plans to harness the power of its GPUs for some added computing muscle, and it looks like NVIDIA is now taking things one step further by announcing its new GPU-based Tesla Personal Supercomputer, which promises to deliver the power of a traditional supercomputer cluster at 1/100th of the price.
11/18/2008 Supercomputers Are Bright Spot Amid Turmoil
New chip technology and industry alliances are bringing rapid advances to these high-performance machines, feeding demand at a time when the personal computer industry is sagging.
11/18/2008 Nvidia pitches “personal supercomputers” to scientists
As Nvidia’s graphics chips are enlisted to handle computational tasks in supercomputers, the chip maker is finding there is a new class of machines emerging: the personal supercomputer.
11/18/2008 Dell taps game box, Nvidia for supercomputing
Dell is also looking to Nvidia to democratize supercomputing and bring it down to the desktop. "Advances in graphics technology are actually creating some new opportunities in supercomputing," Dell said. "We announced today that we're extending our partnership with Nvidia to advance their CUDA architecture in Dell's precision workstations," he said.
11/18/2008 SC08: Michael Dell Details Everyday Supercomputing
In his speech Dell gave a boost to Nvidia and its use of GPUs in supercomputers by announcing that Dell would add 1 teraflop to its personal HPC workstations through a Nvidia Telsa card.
11/17/2008 NVIDIA set to launch Tesla powered Personal Supercomputer
Today is the first day of SuperComputing 08 conference held in Austin, Texas. A lot of companies are bringing out the big guns for that one, and one of the companies that could have the largest one is NVIDIA and its partners. Regardless of what you may think of CUDA, this API really took off in scientific community.
11/17/2008 Computing From Weather to Warcraft
Today, a number of companies, like the high-speed computing specialist Cray and the graphics-chip maker Nvidia, are building beefy systems that can sit next to a desk and replicate some of the functions handled by room-sized machines. Nvidia, for example, has started selling deskside machines starting at $10,000 that can process data 250 times faster than a regular PC.
11/17/2008 Nvidia Machine Takes a Spot on the Top Supercomputer List
For the first time ever, a supercomputer using Nvidia chips has achieved a spot on the Top 500 list of the world’s fastest supercomputers. The Nvidia-containing machine is ranked No. 29 on the list that was released late Friday; it’s a cluster built by NEC and Sun Microsystems that uses chips from Nvidia, Intel and AMD.
11/11/2008 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.
11/10/2008 RTM Solution Is Turning Heads -- E&P Daily News, Page 8
Oil industry data centers are facing a double squeeze. In addition to a tenfold increase in the size of typical marine seismic datasets in the last three years, there is growing demand to run compute-intensive algorithms such as reverse time migration (RTM). Given the current political and economic pressure to boost domestic US production, addressing data processing capacity is becoming a top priority.
11/01/2008 Massively Parallel Linux Laptops, Workstations and Clusters with CUDA -- Linux Journal
The current NVIDIA Tesla 10-series GPUs and select models of the GeForce 200-series have 240 hardware thread processors, while even the highest-end AMD and Intel processors currently have only four cores per CPU.
10/29/2008 SeismicCity Improves Depth Perception with NVIDIA GPU Computing Technology
Houston-based SeismicCity announced today that it is using NVIDIA® Tesla™ S1070 1U systems for Reverse Time Migration (RTM) – one of the most advanced seismic imaging techniques ever used by the oil and gas industry. SeismicCity selected the NVIDIA Tesla S1070 as it offered the fastest and most scalable implementation to run these complex algorithms enabling discovery of new oil and gas reserves faster.
09/31/2008 Digging Deep -- CGW
For those accustomed to thinking in terms of realistic 3D models and animated movies, there would seem to be little connection between a graphics card and a deep-water oil well.
09/24/2008 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.
09/22/2008 GPUs Finding A New Role on Wall Street -- HPCwire
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 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.
9/16/2008 Scicomp Accelerates Market Leading Derivative Pricing Software With NVIDIA CUDA
Trading in over-the-counter financial derivatives is a high-risk, high-pressure venture. SciComp, an Austin, Texas-based company, has a high-tech derivatives software solution to shorten the development time and accelerate the performance of Monte Carlo pricing models. The company has enhanced SciFinance®, its flagship product, to deliver accurate NVIDIA® CUDA™-enabled derivatives pricing models that run up to 100 times faster than serial code.
09/16/2008 Nvidia to Offer Its 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.
09/08/2008 NVIDIA's GT200: Inside a Parallel Processor -- Real World Technologies
As the GPU has grown more and more computationally capable, it has also matured from an assortment of fixed function units to a much more powerful and expressive collection of general purpose computational resources, with some fixed function units on the side.
09/08/2008 NCSA to add 62 teraflops of compute power with new heterogeneous system -- NCSA
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.
08/13/2008 From Minutes To Seconds: How Manifold Is Using NVIDIA CUDA To Transform GIS Technology
From tracking 911 calls and studying carbon dioxide levels to keeping track of pesticide use, the applications of geographic information systems (GIS) are growing rapidly. NVIDIA Corporation, the world leader in visual computing technologies, and Manifold today announced that they are working closely to make GIS even more powerful through the use of the award-winning NVIDIA CUDA™ development environment for accelerating applications on the GPU.
07/29/2008 Processor Bifurcation -- Linux Magazine
The processor market is diverging between two paths, the general and the predictable. Where does HPC hitch it’s wagon?
07/25/2008 Parallel computing with GPUs -- InfoWorld
NCAR was able to speed up the Weather Research & Forecasting Model by 20% by parallelizing one component of the model with NVIDIA CUDA software and a many-core GPU Computing Processor called Tesla.
07/08/2008 Going to the Well -- Advanced Imaging Pro
NVIDIA refreshes its GPU every 12 to 15 months. That is driven by the gaming industry. Gamers want more realism; they want to see skin detail, hair detail. That refresh rate and the needs of the oil and gas industry—and others that require huge amounts of data to be crunched—led to the development of CUDA, which was released in June 2007.
07/01/08 Desktop supercomputing -- The Engineer Online
Ordinary PCs could be used to solve complex engineering and science problems, 'supercomputer- style', by harnessing the power of graphics processing, a specialist in visual computing has claimed.
06/30/08 Nvidia Tesla Doubles the Performance for CUDA Developers -- Computer Graphics World
From video encoding to oil and gas exploration and from medical imaging to scientific research, thousands of CUDA developers in the high-performance computing (HPC) community are leveraging a GPU computing platform announced one year ago.
06/30/08 CUDA, Supercomputing for the Masses: Part 5 -- Dr.Dobb’s Portal
In Part 4 of this article series on CUDA, I discussed how the execution model and kernel launch execution configuration affects the number of registers and amount of local multiprocessor resources such as shared memory. In this installment, I continue with a discussion of memory performance and the use of shared memory in reverseArray_multiblock_fast.cu.
06/26/08 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.
06/25/08 nVidia Tesla processors boost oil industry -- IT PRO
nVidia may be best known for its gaming dedicated graphics hardware, but its latest chips are proving popular in the high performance computing space and are making a big differences to corporate customers such as the oil industry.
06/25/08 GPGPUs Make Headway in Bioscience -- HPCwire
Few user organizations have had more hands-on experience with accelerators than the National Cancer Institute's Advanced Biomedical Computing Center (ABCC). We asked Jack Collins, manager of the ABCC's Scientific Computation and Program Development group, for his take on accelerator appropriateness
06/18/08 Trading Desks Turn to Video Game Technology to Speed Analytics -- Wall Street & Technology
Wall Street is exploring the use of graphics processing units (GPUs) found in video games to speed up options analytics and other math-intensive applications.
06/18/08 Can You Feel It? -- Linux Magazine
Just to pique your interest, the new 10-series (Tesla) cards will provide up to 4 MB of on-board RAM, one TFLOPS of single precision performance, double precision support, and 240 on-board processors. Combine this new hardware with the army of existing CUDA developers out there and one might even get a sense of “Deja Vu all over again.” Can you feel it?
06/18/08 NVIDIA Doubles Up on Tesla Performance -- internetnews.com
With 120 massively parallel processing cores, Tesla offers processing of data including medical images, financial models and scientific simulations. nVidia said this new generation of chips doubles the performance over the last generation, offering up to four teraflops in a rack system, doubles the memory to 16GB and has three times the power efficiency as the last generation.
06/16/08 AMD, Nvidia roll TFlops graphics chips -- EE Times
Advanced Micro Devices will announce their competing next-generation graphics processors Monday (June 16), both claiming their massive multicore chips can deliver a TFlops for graphics and video as well as high-end technical and scientific applications
06/16/08 NVIDIA drums up revamped Tesla processors -- The Tech Report
For folks who need racks full of high-powered GPGPU goodness, NVIDIA has also introduced the S1070 1U System. As its name suggests, the S1070 is a 1U-form-factor enclosure that packs four T10P processors each clocked at 1.5GHz, with a total of 960 SPs, 16GB of RAM, and 408GB/s of peak theoretical memory bandwidth. NVIDIA rates the whole system for 700W of power use, as well.
06/16/08 Nvidia Upgrades GPU For High-Performance Computing -- InformationWeek
With Tesla, NVIDIA gives companies the option of adding a general purpose GPU to their server rack or workstation as an alternative to adding more dual-core or quad-core processors from Intel or Advanced Micro Devices.
06/16/08 NVIDIA Announces Latest Tesla Platform -- insideHPC
NVIDIA recently announced their latest push into the high performance computing arena with the second generation of their Tesla line of GPU computing platforms. This refresh of Tesla bumps compute density to 240 GPU cores with a theoretical peak of right around 1 Tflop. Alongside this, NVIDIA will also release a new 1U server chassis to house the new units.
06/16/08 Second-gen Tesla packs more memory, bandwidth, processing horsepower -- TG Daily
Nvidia today announced its second generation of Tesla floating point accelerators based on the GT200 series of graphics processors. It is the first big upgrade for the company’s supercomputing product portfolio.
06/16/08 Nvidia Releases 240-Core Graphics Processor -- eWeek.com
Nvidia is looking to expand its presence in the high-performance computing market with a second-generation graphics processor that offers 240 graphics processing cores and 1 teraflop of performance.
06/16/08 NVIDIA Unveils Teraflop GPU Computing -- HPCwire
NVIDIA has announced two new Tesla-branded GPU computing products at ISC'08, continuing the company's efforts to move into the HPC market. The new products are based on NVIDIA's next generation 10-series GPU processor architecture.
06/16/08 Nvidia blows out Moore’s Law with fresh Tesla -- The Register
Nvidia pitches its Tesla hardware as a magical solution for the world’s toughest computing problems. Just move your code that runs well across many processors over to the Tesla boards, and Shazam!. You enjoy sometimes 400 per cent improvements in overall performance.
06/16/08 NVIDIA Editor's Day: The Re-Introduction of Tesla -- HotHardware
When you visit NVIDIA’s Web site and hit the Products drop-down menu, a long list of the company’s offerings scrolls down in front of you—impressive for an organization that originally found notoriety by designing the fastest desktop display adapters.
06/16/08 NVIDIA Announces New Tesla Parallel Processor Cards and GTX 200 Series Graphics Cards -- Dr.Dobbs Portal
NVIDIA today announced a series of products aimed at the high-end gaming and high-performance computing markets. Both the GTX 200 Series video cards and the Tesla C1060 and S1070 processors are centered around a new massively parallel processor, known as the GT200 in the graphics context or (a bit confusingly) the T10P when used in the Tesla processor units.
05/15/08 Going to the Wall -- Advanced Imaging Magazine
Some jobs are just too big for one person, one company or one technology. In oil and gas exploration, for example, one seismic survey can equal 10 terabytes of data.
04/30/08 Nvidia's David Kirk on CUDA, CPUs and GPUs -- bit-tech.net
David Kirk, Nvidia's Chief Scientist, is an incredibly busy man with an even busier schedule. In the last four weeks, he's been touring some of the top universities in China, Japan and Europe to give guest lectures on how Nvidia's technologies will impact the future of computing—and not just graphics.
04/28/08 Scalable Parallel Programming with CUDA -- ACM Queue magazine
The advent of multicore CPUs and manycore GPUs means that mainstream processor chips are now parallel systems. Furthermore, their parallelism continues to scale with Moore’s law.
04/10/08 Nascentric Announces OmegaSim(TM) GX - the World's First Hardware-Accelerated SPICE Simulator -- Forbes.com
OmegaSim GX harnesses the raw computational power of NVIDIA Graphics Processing Units (GPUs) to provide the highest-performance transistor-level simulation with virtually no loss in accuracy.
04/10/08 Spice accelerator uses nVidia GPU platform -- SCDsource
By rolling out a fast Spice accelerator that uses the massively parallel Tesla GPU platform from nVidia, Nascentric is not only providing a new way to speed analog/mixed-signal simulation.
03/26/2008 NVIDIA Processor Has New Niche -- The Wall Street Journal
Gerald Hanweck wants to sniff out the least-risky subprime borrowers from acres of data. And he is using an enhanced desktop computer for the task, one that is considered laborious for a room full of big server computers.
03/21/08 Nvidia's Supercomputing Effort Wins Fans, Spooks Rivals -- Dow Jones
Gerald Hanweck wants to sniff out the least risky sub- prime borrowers from acres of data. And he's using an enhanced desktop computer for the task, one that is considered laborious for a room full of big server computers.
02/25/08 Nvidia talks up GPU 'supercomputers' -- vnunet.com
Nvidia has claimed that its graphics chips are not just for gaming and watching movies. The company said at a press event in San Francisco that users are harnessing the power of its GPUs in other ways.
02/09/08 CUDA - let the GPU take the strain -- IT PRO
The barracuda is the wolf of the sea, a slim silver dart that hunts in deadly packs. It’s perhaps not surprising that NVIDIA has taken part of its name for its GPU-based supercomputing tools.
02/01/08 Researchers, NVIDIA Collaborate on GPU Petascale Computing -- HPCwire
The combination of CUDA parallel programming tools and NVIDIA Tesla GPU Computing products is driving a fundamental change in the world of scientific computing and delivering unprecedented levels of price performance to research facilities.
01/28/08 PARALLEL PROCESSING WITH CUDA -- Microprocessor Report
Parallel processing on multicore processors is the industry’s biggest software challenge, but the real problem is there are too many solutions—and all require more effort than setting a compiler flag.
01/22/08 Synopsys and Acceleware Deliver Hardware Accelerated Solution for Design of Optoelectronic Devices -- PRNewswire
CAD Sentaurus Device simulation software utilizes the ClusterInABox Quad Q30's built-in NVIDIA graphics processing units (GPUs), which deliver up to two Teraflops of computational power, to significantly accelerate FDTD simulations of optoelectronic devices.
01/21/08 Graphics chips rev up research results -- University of Cambridge
Every serious PC gamer knows what a difference a good graphics card can make to the fun they have. But it is not just hardcore gamers who have recognised the worth of a PC graphics card; increasing numbers of research scientists have woken up to their potential too.
01/04/08 Parting Shots at 2007 -- HPCwire
NVIDIA mounted an aggressive campaign to take the early lead in the nascent GPGPU market. In February, the company launched its CUDA development tools for GPU programming and then in June brought out its spring line of Tesla GPU computing hardware. AMD made some noise with its R600 GPU and is now planning for double precision GPU computing next year with its FireStream Stream Processor and associated SDK. Intel is looking to do a GPGPU end-around with its upcoming "Larrabee" manycore products. Stay tuned; it's going to be a knock down, drag-out fight.
12/31/07 More Chip Stories to Watch - The Channel Wire
Is 2008 the year of accelerators? Examples include FPGA processors, Cell processors and Nvidia's Tesla. The industry has been sniffing around this issue for years. Intel's QuickAssist and AMD's Torrenza initiatives are vying for the industry standard.
12/21/07 The insideHPC Top Five Stories for 2007 -- HPCwire
NVIDIA was much on the minds of our readers as the company moved to build a new market for its legendary graphics cards. They aimed at the HPC market not only with some tweaked GPUs, but they also took a page from ClearSpeed's playbook by introducing an API (CUDA) to allow HPC users to get at all that processing power without contorting scientific algorithms into constructs better suited for textures and pixel shading.
12/14/07 NVIDIA Tesla wins PC Magazine Technical Excellence Award -- GPGPU
NVIDIA's new Tesla GPU Computing line of GPUs have won a PC Magazine Technical Excellence Award in the Component category. From the PC Magazine article: "Sure, you know GPUs, but have you heard of GPGPUs? The concept is simple: Use the massively parallel architecture of the graphics processor for general-purpose computing tasks. Because of that parallelism, ordinary calculations can be dramatically sped up. To create the Tesla, its powerful new entry into this market, nVidia has bundled multiple GPUs (without video connectors!) into either a board or a desk-side box that offers near-supercomputer levels of single-precision floating-point operations. The general-purpose GPU (thus the acronym GPGPU) is being used as a high-performance coprocessor for climate modeling, oil and gas exploration, and other applications—and it's much cheaper than a supercomputer. The Tesla even comes complete with its own C compiler and tools."
12/11/07 HP plots path to server accelerator madness in '08 - The Register
The vendor has fired up talks with AMD/ATI and Nvidia around its Tesla systems to see what makes sense from a resale perspective. Customers can, for example, take a single GPGPU card and slot it into existing systems in order to speed up certain types of software that runs better on the graphics chips' numerous engines than on dual- or quad-core x86 chips. Or you can go the Tesla route and buy a deskside or rack unit with numerous GPUs installed to get a super-charged speed-up.
12/06/07 Playing or processing? -- The Economist Technology Quarterly
The idea of using graphics chips for more general-purpose computing has been around for years, but only recently have the chips become sophisticated enough for it to work in practice. Both Nvidia and AMD, the world's largest graphics-card manufacturers, have decided that GPU computing could be a big opportunity. Nvidia has released a product line designed specifically for non-graphics applications, and a specialised programming language for use with it.
12/04/07 Pixels to PetaFLOPS - Today’s HPC Clusters
CUDA is very interesting because NVIDIA created a new model for programming general purpose computations on GPUs. CUDA is data parallel computing, using thousands of threads with a Parallel Data Cache to help increase arithmetic intensity for large performance boosts (arithmetic intensity refers to the compute intensity of the code). With CUDA, you can program in C and then use extensions to program for the GPUs. This feature allows you to target certain portions of the code for execution on the GPU and the rest to run on the CPU.
12/04/07 The 24th Annual Technical Excellence Awards -- PC Magazine
Sure, you know GPUs, but have you heard of GPGPUs? The concept is simple: Use the massively parallel architecture of the graphics processor for general-purpose computing tasks. Because of that parallelism, ordinary calculations can be dramatically sped up. To create the Tesla, its powerful new entry into this market, nVidia has bundled multiple GPUs (without video connectors!) into either a board or a desk-side box that offers near-supercomputer levels of single-precision floating-point operations. The general-purpose GPU (thus the acronym GPGPU) is being used as a high-performance coprocessor for climate modeling, oil and gas exploration, and other applications—and it's much cheaper than a supercomputer. The Tesla even comes complete with its own C compiler and tools.
11/30/07 HPC: A New Power Base in Europe -- Scientific Computing World
David Robson explores the latest initiatives driving the development of high-performance computing in Europe.
11/30/07 The Future Looks Bright for Teraflop Computing -- Scientific Computing
Amazing power in the lab is feasible right now — and for a bargain price — but programming is required.
11/27/07 New Collaboration Helps the Oil Industry Harness HPC -- Scientific Computing
Mercury Computer Systems and NVIDIA are to collaborate to provide oil exploration and production developers with a comprehensive solution.
11/23/07 SW Development Kit Turns GPUs into Supercomputers -- POPULAR SCIENCE RECOGNIZES NVIDIA CUDA - Chip Design
Popular Science has announced that the NVIDIA® CUDA™ C-compiler and software development kit (SDK) has been recognized as one of the top 100 innovations of the year, winning the coveted “Best of What’s New” award.
11/20/07 GPGPUs and FPGAs are Now Fully Implanted in Our Brains - Channel Register
SC07 One topic - even more so than cheap shrimp - dominated this year's Supercomputing conference in Reno: Accelerators.
11/15/07 NVIDIA Unveils New Version of CUDA Software Development Tools - Hardware Zone
NVIDIA is demonstrating the latest version of its award winning C-compiler for GPU programming, CUDA 1.1, at the SuperComputing 2007 show.
11/14/07 Popular Science Recognizes NVIDIA CUDA - [H]Enthusiast
Popular Science has announced that the NVIDIA® CUDA™ C-compiler and software development kit (SDK) has been recognized as one of the Top 100 innovations of the year, winning the coveted "Best of What's New" award.
11/14/07 NVIDIA Unveils New Version of Award-Winning CUDA Software Development Tools - Embedded Computing Design
NVIDIA is demonstrating the latest version of its award-winning C-compiler for GPU programming, CUDA™ 1.1, at the SuperComputing 2007 show.
11/14/07 NVIDIA Unveils CUDA 1.1, Universities Adopt for Education - InsideHPC.com
SC07: NVIDIA has announced a new version of its CUDA API for harnessing the power of GPU’s in computation.
11/14/07 NVIDIA announces CUDA 1.1 - The Tech Report
NVIDIA has unleashed version 1.1 of CUDA, bringing additions like support for 64-bit versions of Windows XP and extra examples of source code that takes advantage of multi-GPU systems.
11/13/07 Top Schools Adopt NVIDIA CUDA for Parallel Programming Courses - EDN
As the computing industry rapidly moves to multi-core and parallel processing architectures, tomorrow’s software engineer must be educated on the best tools and methodologies for parallel computing. NVIDIA announced today that the CUDA software environment is now being actively used in parallel programming courses at over 20 universities worldwide with many more currently evaluating NVIDIA’s tools for parallel programming for inclusion in their curriculum.
11/13/07 NVIDIA GPU Computing Solutions Recognized by HPC Community - TackTech
HPCwire, the most recognized and accessed news and information site covering the high performance computing (HPC) ecosystem, recognized NVIDIA today with three Readers' and Editors' Choice awards for its Tesla™ line of GPU computing solutions and its CUDA C-compiler and software development kit (SDK).
08/17/07 Nvidia CUDA: Practical Uses - BeHardware
Since our first analysis of CUDA, various elements have evolved. Nvidia has launched a special line of devoted products and the API has improved. We had the opportunity to talk with the main people involved with this technology and were able to test what GPUs are capable of compared to CPUs in a practical application.
