November 21, 2005
"The world-record performance of Solaris 10 for x86 and the availability of advanced technologies such as Solaris Containers, Predictive Self-Healing and DTrace make Solaris an ideal platform for Egenera's BladeFrame customers," said Tom Goguen, vice president of Software at Sun Microsystems. "Egenera has a reputation for delivering leading-edge utility computing, virtualization and automation capabilities in their BladeFrame systems; their choice of Solaris 10 reaffirms our position that Solaris 10 is the most advanced OS on the planet."
With this announcement, the Egenera BladeFrame provides the ability to simultaneously run Red Hat Linux, SUSE LINUX, Microsoft Windows Server 2003 and Solaris 10 on a single system. By enabling customers to repurpose individual Egenera Processing Blade resources across operating systems, Egenera delivers utility computing today while providing the choice and flexibility to run an extensive range of business services.
"Solaris is an important operating system for enterprise datacenters," noted Pete Manca, senior vice president of engineering at Egenera. "We are pleased to support yet another mission-critical OS on our Processing Area Network (PAN) architecture. Moreover, the growing ecosystem of independent software vendors rallying behind Solaris 10 will enable our customers to support more of their enterprise applications on the BladeFrame and derive even greater value from an Egenera investment."
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.
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
In this week's hand-picked assortment, researchers explore the path to more energy-efficient cloud datacenters, investigate new frameworks and runtime environments that are compatible with Windows Azure, and design a uniﬁed programming model for diverse data-intensive cloud computing paradigms.
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.
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
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.