March 30, 2012
Leading Russian systems integrator delivers custom high-performance computing systems with Bright Cluster Manager
SAN JOSE, March 30 — Bright Computing announced that SmartCluster, Ltd. has entered into a partnership to resell Bright Cluster Manager as part of its HPC solutions and services portfolio. SmartCluster, located in Nizhny Novgorod, Russia, was established in 1994 to deliver customer-specific turnkey systems. In addition to Bright Computing, the company partners with the leading hardware suppliers.
SmartCluster sells Bright Cluster Manager to provide a seamless solution for provisioning, scheduling, monitoring and managing complex Linux clusters. These systems are also cloud-ready; Bright provides cloud bursting into Amazon EC2 as a standard feature. Bright enables system administrators to visualize and manage these cloud-based nodes as if part of the on-premise cluster.
Bright Computing's international partnerships are active on every inhabited continent, serving a variety of HPC and vertical market segments. In addition, the company partners with the leading hardware and technology vendors: Cisco, Cray, Dell, HP, IBM, Intel and NVIDIA.
About Bright Computing
Bright Computing specializes in management software for clusters, grids and clouds, including compute, storage, Hadoop and database systems. 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 is used to manage several Top500 installations. Bright Computing has its headquarters in San Jose, California. http://www.brightcomputing.com.
Source: Bright Computing, Inc.
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.
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.
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.