December 13, 2004
Egenera Inc and Oracle Corp announced availability of a new joint service designed to help customers easily deploy Oracle 10g RAC solutions on the Egenera BladeFrame system. Together, Egenera and Oracle deliver a Grid-ready infrastructure for the datacenter, including Oracle Database 10g, Oracle 10g RAC, Oracle Application Server 10g and Egenera's unique utility computing platform.
The new offering is a service engagement wherein skilled personnel from Egenera Professional Services and Oracle Consulting expedite implementation and deployment of the Oracle 10g RAC Grid software infrastructure on the Egenera BladeFrame. Already field-proven with existing joint customers, the turnkey solution minimizes risk while speeding time-to-market for Grid-based applications.
The Egenera BladeFrame's Processing Area Network (PAN) architecture, virtualization technology, and diskless Processing Blade design utilizing Intel Xeon processors and Intel Xeon processors MP bring unique benefits to the Oracle 10g RAC environment. Since any virtual server can assume any identity at any time, applications can share resources for demand spikes and high availability to lower costs and increase utilization. This utility computing model also enables IT to respond more quickly and effectively to rapidly changing business requirements. For simplicity, Egenera PAN Manager software has been integrated with Oracle Enterprise Manager 10g Grid Control, enabling customers to seamlessly monitor, manage and access the Egenera BladeFrame system through Oracle's management interface.
"Egenera is the first systems supplier to announce an out-of-the-box joint solution with Oracle for its 10g RAC architecture," noted Mike Thompson, chief operating officer of Egenera. "As a Certified Partner in the Oracle PartnerNetwork, Egenera welcomes this increased level of cooperation and collaboration. Working with Oracle, we are pleased to help our joint customers more quickly and easily implement Grid computing and reap the benefits of Oracle 10g RAC running on the Egenera BladeFrame system."
"Egenera's BladeFrame system is an ideal Grid computing platform for the Oracle 10g stack," said Mark Salser, senior vice president of Oracle's Technology Business Unit. "By leveraging the success we've already seen with mutual customers, Oracle and Egenera have developed a proven, repeatable service that can help datacenters get up and running with Grid computing more quickly and cost-effectively."
"With Egenera's recently announced support for Intel Xeon processors with Intel Extended Memory 64 Technology, Egenera BladeFrame customers have the ability to take advantage of 64-bit performance," said Phil Brace, general manager of Enterprise Platforms Group Marketing at Intel Corp. "Now, customers running Oracle 10g RAC on the Egenera BladeFrame can seamlessly switch a node from 64- to 32-bit on the fly with virtually no downtime. Egenera's forthcoming Intel Itanium 2 processor-based blade will extend this Grid-based resource still further."
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 |
he 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.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
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.