Visit additional Tabor Communication Publications
October 01, 2012
SAN JOSE, Oct. 1 — Bright Computing, the leading vendor-independent supplier of cluster management software, announced today that it has partnered with Univa to create a bundled product offering to be sold worldwide by both companies. Bright Cluster Manager® provides a unified solution for provisioning, monitoring and managing HPC clusters. Univa Grid Engine is a leading workload management solution that provides scheduling capabilities to both Big Data and Big Compute applications. The combined solution provides the full spectrum of cluster management function through a single, intuitive graphical user interface and management shell. System administrators have complete visibility and control over every aspect of their clusters and gainproductivity advantages through the tight integration of the two products.
Clusters using this combined product are automatically cloud-ready, enabling system administrators to extend their clusters into the cloud, and manage these nodes, with just a few easy steps.
“Bright Computing already offers a range of workload managers as pre-integrated, admin-selectable options,” said David Maples, SVP of Sales at Bright Computing. “The purpose of combining our products is really about customer convenience. Moving forward, our customers can purchase the full solution from either company, and have a single point of contact for installation, support and maintenance.”
“Another driver for this selling partnership is demand from our mutual OEM partners,” added Rob Secontine, VP of Sales and Marketing at Univa. “One large systems vendor in particular has standardized on both of our products. It’s operationally more efficient to have a single SKU, a single source, for them to work with.”
As the two companies remain independent entities, Bright Cluster Manager will continue to be available with other workload management solutions as pre-configured options, and Univa Grid Engine will also be available as a standalone product.
As part of the rollout of the combined product, Bright Computing CEO, Dr. Matthijs van Leeuwen will present “Bright Cluster Manager & Univa Grid Engine — Maximum Productivity through Deep Integration” at the Grid Engine Evolution Summit meeting on Monday, 1 October in Regensburg, Germany. This two-day user conference will also feature experts presenting best practices, case studies and product roadmaps in cloud computing and big data.http://www.univa.com/resources/grid-engine-evolution-summit-2012
About Univa Corporation
Univa, the Data Center Automation Company, is the leading provider of automation and management software for computational and big data infrastructures. Our products and global enterprise support give our customers the power to manage their entire computational space, no matter how big or where it is deployed. Many of the leading brands in the world depend on Univa’s unsurpassed expertise, and premier services and support. Univa is headquartered in Hoffman Estates, Illinois, USA, with offices in Markham, ON, Canada; Austin, Texas, USA and Munich, Germany. http://www.univa.com/
About Bright Computing
Bright Computing specializes in management software for clusters, grids and clouds, including compute, storage, Hadoop and database clusters. Bright’s fundamental approach and intuitive interface makes cluster management easy, while providing powerful and complete management capabilities for increasing productivity. Bright Cluster Manager is the solution of choice for many research institutes, universities, and companies across the world, and manages several Top500 installations. Bright Computing has its headquarters in San Jose, California.http://www.brightcomputing.com.
Source: Bright Computing
In quieter times, sounding the bell of funding big science with big systems tends to resonate further than when ears are already burning with sour economic and national security news. For exascale's future, however, the time could be ripe to instill some sense of urgency....
In a recent solicitation, the NSF laid out needs for furthering its scientific and engineering infrastructure with new tools to go beyond top performance, Having already delivered systems like Stampede and Blue Waters, they're turning an eye to solving data-intensive challenges. We spoke with the agency's Irene Qualters and Barry Schneider about..
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).
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 22, 2013 |
At some point in the not-too-distant future, building powerful, miniature computing systems will be considered a hobby for high schoolers, just as robotics or even Lego-building are today. That could be made possible through recent advancements made with the Raspberry Pi computers.
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 15, 2013 |
Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
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.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.