November 15, 2012
SAN DIEGO, Nov. 15 – StackIQ today announced the immediate availability of StackIQ Enterprise HPC, the newest addition to their comprehensive cluster management product line. Powered by Rocks+, and building on StackIQ's successful Enterprise Data offering, the new product provides the very latest in HPC cluster management software.
StackIQ has updated their Rocks+ HPC product to embrace the many enterprise-grade capabilities already available in their Enterprise Data solution. Customers familiar with the company's Rocks+ HPC product will be delighted to know that the new software is a direct upgrade of their previous release – with several new and enhanced capabilities.
StackIQ Enterprise HPC is based on the latest enterprise grade Linux – Red Hat Enterprise Linux and CentOS 6.3 – and features a new easier to use graphical user interface, while retaining the powerful command line interface Rocks+ power users know and love.
In addition to the new GUI, nearly every module has been updated, from the HPC Roll (which contains a preconfigured OpenMPI environment), to the Intel, Dell, Univa Grid Engine (UGE), Moab, Mellanox, Open Grid Scheduler / Grid Engine (GE), and CUDA Rolls.
Administrators will find it easier to track cluster health using new advanced cluster diagnostics tools, while developers will find it easier than ever to develop and debut Rolls using features like the filtered "profiles" tab in the GUI.
StackIQ also added advanced firewall configuration to enhance the security of HPC clusters, making them more robust and able to be integrated into today's enterprise data center environments.
"We are thrilled to bring this major update to our HPC customers in time for the annual SC12 conference," said Tim McIntire, President and co-founder of StackIQ. "By bringing the enterprise features of our Enterprise Data product to the HPC products, we've improved the HPC product, while making it easier for those building hybrid HPC/Hadoop clusters to get their work done."
About StackIQ
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.
-----
Source: StackIQ
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.
Read more...
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)...
Read more...
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.
Read more...
Jun 19, 2013 |
Ruan Pethiyagoda, Cameron Boehmer, John S. Dvorak, and Tim Sze, trained at San Francisco’s Hack Reactor, an institute designed for intense fast paced learning of programming, put together a program based on the N-Queens algorithm designed by the University of Cambridge’s Martin Richards, and modified it to run in parallel across multiple machines.
Read more...
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.
Read more...
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.
Read more...
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.
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.