January 10, 2013
ARMONK, NY, Jan. 10 – IBM today announced that it received a record 6,478 patents in 2012 for inventions that will enable fundamental advancements across key domains including analytics, Big Data, cybersecurity, cloud, mobile, social networking and software defined environments, as well as industry solutions for retail, banking, healthcare, and transportation. These patented inventions also will advance a major shift in computing, known as the era of cognitive systems.
This is the 20th consecutive year that IBM topped the annual list of U.S. patent recipients.
"We are proud of this new benchmark in technological and scientific creativity, which grows out of IBM's century-long commitment to research and development," said Ginni Rometty, chairman and CEO, IBM. "Most concretely, our 2012 patent record and the two decades of leadership it extends are a testament to thousands of brilliant IBM inventors – the living embodiments of our devotion to innovation that matters, for our clients, for our company and for the world."
IBM's record-setting 2012 patent tally was made possible by more than 8,000 IBM inventors residing in 46 different U.S. states and 35 countries. IBM inventors residing outside the U.S. contributed to nearly 30% of the company's 2012 U.S. patent output.
From 1993-2012, IBM inventors received nearly 67,000 U.S. patents. The company's 2012 patent count exceeded the combined totals of Accenture, Amazon, Apple, EMC, HP, Intel, Oracle/SUN and Symantec. IBM was followed by Samsung and Canon, who were awarded second and third on the Top Ten list, respectively.
IBM's record 2012 patent output featured inventions that are reshaping how companies are applying technology in today's world of a Smarter Planet and those that are laying the groundwork for the new era of cognitive systems:
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Source: IBM
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.
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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).
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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.
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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.
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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.
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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.