December 19, 2005
"SAS is honored and committed to support the mission of HHS and help predict the future for better government," said Tom Mazich, vice president of SAS U.S. Government Operations. "Imagine being able to pull data from any system in your organization, perform advanced analyses, and then obtain and share performance information for decision making in seconds rather than hours, days or weeks. As the partnership between SAS and HHS demonstrates, these capabilities are no longer just part of our imagination; they have arrived in full force. HHS is leading the way in showing how the strategic application of technology can help create a healthier and safer nation and positively touch the lives of countless Americans each day."
The renewed agreement gives HHS wide access to a variety of SAS business intelligence and analytics solutions, including SAS BI Server and SAS Strategic Performance Management. SAS' business intelligence solutions will empower HHS executives and employees to collaborate across the department and within programs. With access to the information they need through self-service reporting and customized, easy-to-use Web interfaces, HHS employees can make mission-critical decisions more efficiently and with greater confidence. For instance, HHS and its programs can use SAS for performance management initiatives, such as monitoring key performance indicators and delivering measurable results to support accountability efforts through the President's Management Agenda, while ensuring achievement of a wide range of organizational goals. In addition, HHS employees will be able to take the information and turn it into forward-looking insight by applying a wide range of SAS analytics solutions for statistical data analysis, data mining, forecasting and other capabilities. Using SAS data mining technology, employees can uncover previously unknown patterns hidden in vast quantities of data, predict future trends and conduct studies, such as the evaluation of anthrax vaccine safety.
Overall, the renewed contract follows a previous five-year enterprise license agreement. It includes services and training designed to help HHS implement SAS software to meet its goals.
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 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 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.
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.