December 11, 2006
Availigent, a provider of Application
Service Management software for Linux-based, dynamic data centers, has
joined the Open Grid Forum to accelerate the development of a common
set of standards for Grid computing. Grid computing is an emerging
computing model that allows many networked computers and data resources
to be dynamically pooled and shared as virtual resources.
"Providing the automated intelligence needed by enterprise Grid data centers is Availigent's mission, and we are pleased to join the Open Grid Forum as it strives to bring standardization to Grid software," said Availigent CEO, Bud Michael. "One of the OGF's goals is to better integrate enterprise Grid architectures with virtualization efforts, and that meshes perfectly with Availigent's application virtualization capability."
Availigent's Duration software allows data center managers to monitor the health and performance of applications, operating systems and networks and employ virtualization to migrate live applications to alternate resources without interruption or loss of data.
"OGF welcomes Availigent as a new class of application service management firm bringing efficiency and productivity gains to the data center," said Mark Linesch, OGF president. "Solution providers such as Availigent are critical collaborators helping OGF develop software interoperability standards and best practices to accelerate Grid adoption."
Michael said Availigent would participate in an OGF working groups concerned with both industry trends and technical applications. Michael will take the lead in the former and Allan Havemose, Availigent's chief technology officer, will have responsibility for the latter.
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.