February 16, 2011
Investment firm IQT has added backing to Digital Reasoning, a Tennessee-based large-scale data analytics company that handles unstructured data via the cloud. Their analytics software hinges on a mathematically-based approach to processing natural language on a vast data and document sets.
Digital Reasoning specializes in Entity Oriented Analytics, which takes large amounts of data and connects items or people of interest to the data sets and searches for connections. Their main product, Synthesis, allows analysts to scan thousands of documents to “allow for the discovery of non-obvious connections hidden in the data, such as alternate meanings of words or ‘coded’ or ‘disguised’ messages.”
Formed in 2000, the company has been a player in the federal space since 2004, working with organizations within the U.S. government including the Army’s Biometrics Intelligence Program, the Army Intelligence and Security Command Information Dominance Center and a number of other specialized security and defense-related projects.
The cloud plays a pivotal role in the company’s offering of the Synthesis platform as the vast number of documents to be combed through by the analytics are stored off-site. As Matthew Russell, VP of Engineering noted, “By allowing users to upload their data into the cloud for analysis, many more users will get the opportunity to experience next generation data analytics while exploring their own data.”
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.