February 16, 2012
Company adds new Hadoop management features, and workload management support
SAN DIEGO, Feb. 16 — StackIQ today announced the immediate availability of Rocks+ 6.0.1, an update to the comprehensive software suite for automating the deployment and management of Big Infrastructure. This release expands on 6.0 adding new Hadoop management features, and new High Performance Computing features.
The updated version of Rocks+ makes managing Big Data clusters easier thanks to all-new Hadoop graphical management features. The release also expands the choice of High Performance Computing workload managers with updated Rolls for CUDA, OFED, Solarflare, Moab, and Univa Grid Engine. And the new "a la carte" packaging of Rolls makes it easier to tailor a Rocks+ solution to meet users requirements.
"Rocks+ 6.0.1 adds the new features our customers have been looking for, and keeps rocks at the forefront of new technologies," said Tim McIntire, president of StackIQ. "It's important to us that our customers always have the tools they need to be productive."
StackIQ (formerly "Clustercorp") is a leading provider of software that automates the deployment and management of Big Infrastructure. Based on open-source Rocks cluster management software, StackIQ's Rocks+ product simplifies the installation and management of the hardware and software that provides the infrastructure for large scale environments having hundreds or thousands of servers supporting Big Data, Analytics, or High Performance Computing. StackIQ is located in La Jolla, California, adjacent to the University of California, San Diego, where the open-source Rocks Group was founded. To learn more visit http://www.StackIQ.com.
Researchers from the Suddhananda Engineering and Research Centre in Bhubaneswar, India developed a job scheduling system, which they call Service Level Agreement (SLA) scheduling, that is meant to achieve acceptable methods of resource provisioning similar to that of potential in-house systems. They combined that with an on-demand resource provisioner to ensure utilization optimization of virtual machines.
Experimental scientific HPC applications are continually being moved to the cloud, as covered here in several capacities over the last couple of weeks. Included in that rundown, Co-founder and CEO of CloudSigma Robert Jenkins penned an article for HPC in the Cloud where he discussed the emergence of cloud technologies to supplement research capabilities of big scientific initiatives like CERN and ESA (the European Space Agency)...
When considering moving excess or experimental HPC applications to a cloud environment, there will always be obstacles. Were that not the case, the cost effectiveness of cloud-based HPC would rule the high performance landscape. Jonathan Stewart Ward and Adam Barker of the University of St. Andrews produced an intriguing report on the state of cloud computing, paying a significant amount of attention to the problems facing cloud computing.
Jun 17, 2013 |
With that in mind, Datapipe hopes to establish themselves as a green-savvy HPC cloud provider with their recently announced Stratosphere platform. Datapipe markets Stratosphere as a green HPC cloud service and in doing so partnering with Verne Global and their Icelandic datacenter, which is known for its propensity in green computing.
Jun 12, 2013 |
Cloud computing is gaining ground in utilization by mid-sized institutions who are looking to expand their experimental high performance computing resources. As such, IBM released what they call Redbooks, in part to assist institutions’ movement of high performance computing applications to the cloud.
Jun 06, 2013 |
The San Diego Supercomputer Center launched a public cloud system for universities in the area designed specifically to run on commodity hardware with high performance solid-state drives. The center, which currently holds 5.5 PB of raw storage, is open to educational and research users in the University of California.
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.