http://www.nvidia.com/object/tesla_articles.html
07/20/09 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.
07/20/09 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.
07/19/09 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.
07/16/09 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.
07/15/09 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.
07/14/09 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.
07/10/09 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.
07/01/09 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.
