December 06, 2004
LiveTime Software announced the expansion of databases supported by LiveTime Support Desk and LiveTime Help Desk to include Ingres r3 open source RDBMS from Computer Associates International Inc. The release, due Q4, will allow LiveTime's J2EE support applications to capitalize on Ingres' mature and feature rich open source DBMS, and run across a diverse range of platforms including Windows, Solaris, HP-UX, AIX and Red-Hat Linux.
LiveTime Software is one of the first vendors to react to CA's release of the Ingres code under its CA Trusted Open Source License. LiveTime anticipates its top-tier customers will take advantage of this new feature as Ingres offers low cost of ownership and a scalable information management component to LiveTime support application deployments. "Ingres' performance, scalability and mature feature-set give it an advantage over many open source DBMSes," said George Vossos, CTO of LiveTime Software.
Organizations that require the extra security of cluster failover for the information repository are also expected to deploy LiveTime Support Desk and LiveTime Help Desk with Ingres. Many open source databases only provide standard cluster failover by way of an automatic restart if the database dies. The Ingres Grid Option is a more flexible solution as it allows the LiveTime repository database nodes to attach to the storage substructure for more robust failover. This is essential when running applications in mission critical environments.
With its trusted reliability, earned over 30 years, Ingres promises to be the main contender for many high volume deployments of these mission-critical applications in large-scale enterprises.
"LiveTime was able to seamlessly embed Ingres into their applications," said Darren Williams, CEO of LiveTime Software, "and it will provide customers additional flexibility when deploying on high volume sites."
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.
Read more...
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).
Read more...
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.
Read more...
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.
Read more...
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.
Read more...
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.