January 17, 2013
VIENNA, Va., Jan. 17 — NJVC, an information technology (IT) solutions provider headquartered in Northern Virginia, is pleased to announce that its Cloudcuity suite of offerings meets or exceeds the requirements as outlined in the National Institute of Standards and Technology Cloud Computing Standards Acceleration to Jumpstart Adoption of Cloud Computing Working Group draft report released earlier this week at the NIST Joint Cloud Computing and Big Data Workshop and Forum in Gaithersburg, MD.
“NJVC applauds the NIST Cloud Computing Working Group for providing an excellent baseline for cloud computing standards for the federal government in support of the White House’s ‘Cloud First’ IT strategy,” said Kevin L. Jackson, vice president and general manager, NJVC cloud services. “After performing a comprehensive analysis, NJVC is confident that its Cloudcuity offerings meet or surpass the six NIST use cases and validation measures and is aligned with the Federal Risk and Authorization Management Program security standards.”
“It is important to note that the new NIST cloud computing standards are relevant and of value to commercial industries, such as finance and healthcare,” said Dave Lavanty, senior vice president, NJVC solutions division. “Commercial enterprises can leverage the highly secure practices of the federal government as they deploy hybrid cloud computing business model strategies and technologies. NJVC looks forward to delivering its solutions and to both public- and private-sector customers.”
With a focus on information technology automation, NJVC specializes in supporting highly secure, complex IT enterprises in business- and mission-critical environments, particularly for the intelligence and defense communities. We offer a wide breadth of IT and strategic solutions to our customers, ranging from strategic consulting to managed flexible services in five business areas: Cloud Services, Cyber Security, Data Center Services, IT Services and Print Solutions. We partner with our customers to support their missions with security-cleared, dedicated and talented employees ready to deploy globally.
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.
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.
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.
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.