November 15, 2004
At its Network Computing '04Q4 (NC04Q4) launch, Sun Microsystems Inc announced TELUS as its first strategic alliance to broaden the delivery of secure, pay-for-use Grid computing services. Leveraging Sun's wholesale model for standardized Grid services, introduced in September 2004, TELUS will resell Sun's Web-based N1 Grid Computing services starting at $1 CPU/hour (USD), initially targeting financial services and oil and gas industries.
"Sun and TELUS are joining forces to drive the next phase of the computing industry, and its delivery as a true utility service," said Jonathan Schwartz, president and chief operating officer of Sun Microsystems Inc. "The Solaris 10 Operating System's robust security, containment and virtualization technologies open opportunities everywhere -- both technical and economic. CIOs around the world should begin benchmarking their internal Grid infrastructures against our announced price of $1 CPU/hour (USD) -- and begin to consider the advantages of moving toward a service-oriented data center, rather than a custom-built Grid. Sun and TELUS can assist organizations across North America in radically reducing expense, complexity and risk."
"Our customers see the high value of accessing compute power by the hour. They want to lower costs, remove complexity and focus on growing their businesses. The Sun N1 Grid Computing pay-for-use service delivers computing power as a utility, like water and electricity," said Tony Geheran, vice president of IT at TELUS Communications. "This dynamic offering fulfills customer needs and delivers on TELUS' The Future is Friendly promise. In simplifying complex business computing, and providing more accessible and flexible options that meet business demands, we believe this new Grid computing service will become a mainstream business requirement over the next few years. TELUS is pleased to be leading the way in the Canadian market in alliance with Sun Microsystems."
TELUS is the first service provider to become a retail business partner with Sun for its pay-for-use Grid computing offering. This is the first step in Sun's strategy to work with retail business partners globally to broaden the delivery of its standardized utility computing capabilities to customers big and small, and in various industries and geographic markets worldwide.
Since September, Sun has already committed more than 6,000 CPUs for early demand from major financial services companies ready to use its service. Sun's first standardized utility computing center will go into full operation by the end of the year in the Washington, D.C., region, and more centers are expected to power-up within months worldwide, including New York, London and Houston, Texas.
TELUS reports that many of its customers have already shown strong interest in its new offering and plans to provide early access trials in January. TELUS expects its Toronto-based compute Grid environment to be in full production by early 2005. The new environment will be based on Sun's standardized platform for Grid computing. Based on Solaris 10, Sun N1 Grid Engine software and Sun's industry-hardened, open Grid Computing Reference Architectures, the backbone of Sun's utility computing environments will be designed to easily scale up to 14,848 compute nodes in each data center.
Since its inception in 1982, a singular vision -- "The Network Is The Computer" -- has propelled Sun Microsystems Inc to its position as a provider of industrial-strength hardware, software and services that make the Net work. Sun can be found in more than 100 countries and on the World Wide Web at http://sun.com/.
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.