December 13, 2004
Sun Microsystems Inc and Oracle Corp continue their joint collaboration around a set of integrated Grid computing solutions designed to help commercial enterprises harness the power of Grid computing and to achieve better utilization of existing IT assets.
With the Grid computing market estimated to reach as much as $12 billion by the year 2007, Sun and Oracle are committed to providing customers with next generation data center solutions on both 32- and 64-bit platforms, backed by the power and innovation of Sun's Solaris Operating System (OS). Today, information technology executives are more frequently considering Grid computing solutions for commercial enterprise computing applications including stock transactions, payroll management, sales orders, deliveries and inventory control. In fact, nearly two-thirds of companies surveyed earlier this year indicated that they were already using -- or were interested in using -- Grid technology for these repetitious and storage intensive operations.
To help lower the barrier of entry to Grid computing, the two companies created a Grid Reference Architecture for Oracle 10g software, providing customers with a set of tested and tuned guidelines for implementing a Grid computing solution. This documented proof-of-concept deployment architecture can decrease the complexity of decision-making and deployment, while increasing reliability and lowering risk for potential customers. The Grid Reference Architecture was created jointly by Sun and Oracle engineers and has been proven to reduce total-cost-of-ownership, while saving implementation time.
"Many of today's data centers can be described as cost-ineffective, due to low utilization of resources," said Bjorn Andersson, director of Grid marketing at Sun Microsystems Inc. "Together with Oracle, we continue to provide customers proven building blocks for Grid based on Sun Fire systems, the Solaris OS, Sun StorEdge, software and services, which can easily be configured to transform poor-performing data centers into a competitive weapon."
To keep costs low and continue to provide advanced technologies, Sun recently announced Sun Cluster and Oracle RAC support on shared file systems, as well as a new Sun Cluster Oracle RAC SVM Edition that enables powerful volume management of Oracle RAC deployments. This comprehensive Sun and Oracle solution helps ensure that customer deployments receive the highest levels of reliability, availability and support.
"We are committed to providing customers with choice and flexibility when it comes to Grid computing," said Prem Kumar, vice president of Server Technologies for Oracle Corp. "Our work with Sun around Oracle Database 10g continues to focus on delivering solutions that maximize asset utilization and decrease overall IT costs -- a value proposition that resonates with organizations of all sizes, in all industries."
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.