10/06/2009 Podcast: NVIDIA GPU Technology Conference Recap; Impact of "Fermi" on HPC Landscape
NVIDIA is doing everything right on a technology standpoint.

10/02/2009 NVIDIA and "Starting the Next Age of Personal Computing"
We are at the forefront of another massive change in the computer industry.

09/30/2009 NVIDIA's Next Generation GPU Architecture has a lot for HPC to Love
(Oakridge) That's a pretty awesome announcement for a design that isn't even a product yet.

09/30/2009 NVIDIA Fermi Next Generation GPU Architecture Overview
NVIDIA refers to Fermi as the most significant leap forward in GPU architecture since the original G80 and after reading through the documentation, it is hard to argue against their case.

09/30/2009 NVIDIA's 'Fermi' GPU Architecture Revealed
For many corners of the GPU computing world, though, Fermi may be well worth the wait, thanks to its likely superiority in terms of double-precision compute performance, memory bandwidth, caching, and ECC support along with a combination of hardware hooks and software tools that should give Fermi unprecedented programmability for a GPU.

09/30/2009 NVIDIA GT300's Fermi Architecture Unveiled: 512 Cores, Up To 6GB GDDR5
If you had any doubt that computational GPU movement is not real and that CPU is the only way to go for HPC, wake up and smell the coffee.

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.

09/24/2009 Bloomberg Uses GPUs to Speed Up Bond Pricing
Two-factor model for calculating hard-to-price asset-backed securities now runs on graphics processing units paired with Linux servers.

09/23/2009 Bloomberg Begins Using Graphics Processors to Calculate Bond Prices
Bloomberg said it had become the first major supplier of market data to commit to and begin using graphical processing units, to speed up the calculation of security prices.

09/15/2009 Eight Ways GPUs Boost HPC
Graphic processing units are finding a greater mainstream computing role. GPUs are cropping up in coprocessing roles in workstations, as well as HPC (high-performance computing) offerings.

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.

09/01/2009 Why Graphics Processors will Transform Database Processing
The history of technology is full of breakthroughs in one field that wound up working wonders in a related one. Now add another tech crossover: The graphics coprocessor, invented in the 1970s to churn through voluminous and repetitive calculations and render smooth and realistic-looking images on computer screens, can now chew on large-scale databases.

08/31/2009 Mission Possible -- Greening the HPC Data Center
With power bills at supercomputing centers around the world running into the tens of million dollars annually and planned upgrades moving these centers into the exascale range, potential spending on power is set to go off the chart. Greening the data center is a daunting challenge but GPUs could help solve the problem.

08/31/2009 Graphics Chips Speed Up Medical Imaging
One of the growing array of applications being found for the powerful graphics-oriented chips is in speeding up medical imaging.

08/29/2009 Velocity Micro and JRTI Released ProMagix VSC255, VSC250 and VSC135+ Visual Supercomputing Workstations with NVIDIA Tesla
It is not surprising that the producers of powerful computer systems tend to use NVIDIA Tesla GPUs in their products to increase their computing capacity.

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.

08/25/2009 Platform Buys HP’s Message Passing Interface
Platform Computing, which has carved out a niche for itself managing supercomputer clusters and dispatching applications on HPC gear, has been expanding up the stack.

08/17/2009 EM Photonics Releases CULA Linear Algebra Library
EM Photonics released a beta version of CULA, an implementation of the industry-standard LAPACK linear algebra library designed and optimized for NVIDIA's massively parallel CUDA-enabled graphics processing units (GPUs).

08/13/2009 LAPACK on CUDA Beta Available for Free, Takes Refreshing Approach to HPC Software
The team is working on developing a CUDA-based implementation of the popular LAPACK mathematical library, and the beta is available now for free download from their website.

08/11/2009 Penguin Puts Linux Supercomputer in Sky
Penguin announced on Demand - POD, for short - a service that offers remote access to high-performance computing (HPC) Linux clusters based on Intel's Xeon chip and Nvidia's Tesla supercomputing GPU. The idea is to provide researchers, engineers, and simulation scientists with the sort of number-crunching power they can't get from the typical so-called infrastructure cloud.

08/10/2009 Supermicro Announces 4TF GPU Computing System
Super Micro Computer, Inc. announced availability of its 7046GT-TRF SuperWorkstations, the first to support four NVIDIA Tesla C1060 GPUs as well as three additional PCI-e add-on cards for high-bandwidth I/O.

08/06/2009 SGI Chases Cray with Baby Cluster
Cray thinks there is a market for baby supercomputers that bridge the gap between fast two-socket workstations with peppy graphics cards and the rack-based parallel supercomputer clusters that run large-scale simulations. And the new Silicon Graphics agrees.

08/05/2009 NASA Restores Apollo 11 Moon Landing Video with Graphics Technology
Four decades after the historic Apollo 11 moon landing, NASA found that it had accidentally destroyed the archival video footage of one of mankind’s greatest achievements. But Lowry Digital was able to use digital video restoration technology to reconstruct a high-definition version of the footage.

08/04/2009 DigitalGlobe Sees the World with NVIDIA CUDA
DigitalGlobe re-architected its image processing software for the NVIDIA CUDA parallel processing architecture so that all pixel manipulation now can be done on a power-efficient NVIDIA Tesla S1070 GPU cluster. This enables mass customization of data for much faster image processing.

08/04/2009 NVIDIA's Tesla GPUs Now Power HP Z800 Workstation
Santa Clara, California-based NVIDIA, one of the world's leading vendors of graphics solutions, recently announced that the HP Z800 workstation computer system, one of its most powerful and expandable workstations, is now configurable with up to two NVIDIA Tesla graphics processing units.

08/03/2009 Personal Supercomputers Promise Teraflops on Your Desk
About a year ago John Stone, a senior research programmer at the University of Illinois, and his colleagues found a way to bypass the long waits for computer time at the National Center for Supercomputing Applications.

08/03/2009 HP Workstation Comes with Nvidia Tesla GPUs
HP is offering configurations of its Z800 workstation with Nvidia’s Tesla graphics processors.

08/03/2009 HP Adopts Tesla GPUs for Z800 Workstations
HP has announced that they will offer NVIDIA Tesla GPUs in their Z800 series workstations. The target markets will include scientific research, industrial design, 3D animation and seismic exploration.

07/27/2009 GPU-Based System Improves PSTM (Prestack Time Migration) 600-Fold
Chinese petroleum industry adopts new GPU-accelerated software solution for seismic imaging, delivering up to a 400x performance increase.

07/25/2009 Parallel Programming Tutorial Series - Part 8 - CUDA
We provided many resources of parallel programming tutorials. The following are the ones we have linked so far.

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.

06/30/2009 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.

06/25/2009 Match Mtulicore with Multiprogramming
Multiple cores deliver performance with lower power requirements, but processors can’t contribute much if they’re idle.

06/23/2009 PGI and NVIDIA Team Up on New CUDA Compiler
HPC compiler maker PGI announced that they are in joint development on a new Fortran compiler for CUDA.

06/23/2009 CUDA, Supercomputing for the Masses: Part 13 -- Using texture memory in CUDA
This article resumes the discussion of "texture memory" and includes information on the new CUDA Toolkit 2.2 texture capability.

06/23/2009 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.

06/22/2009 Supermicro Showcases GPU-Accelerated Servers
Super Micro Computer, Inc. is showcasing 2-teraflop SuperServer 6016GT-TF-TM2 with two Tesla GPUs plus a new 4U System that suppports four Tesla GPUs.

06/22/2009 Sander Olson Interview: NVIDIA's Sumit Gupta, Tesla GPU Computing Group
NVIDIA is heavily pushing GPU computing, and the field is expanding exponentially. There is an average of 10X-50X improvement using GPUs instead of CPUs, and they are finding that increasing numbers of appliations can run dramatically faster with GPU Computing.

06/22/2009 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.

06/19/2009 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.

06/15/2009 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.

06/08/2009 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 Quantum Leap -- Waters Magazine
BNP Paribas drastically accelerates calculation times while slashing electricity consumption with the help of a new GPU-based architecture.

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.

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