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Sidney Fernbach Award to be Given to Columbia Professor


RENO, Nev., Sept. 28 -- David Keyes of Columbia University has been named the recipient of the 2007 Sidney Fernbach Award.

This award is given by the IEEE Computer Society for innovative uses of high performance computing in problem solving. The award will be presented at SC07, the international conference for high performance computing, networking, storage, and analysis held November 10-16 in Reno, NV. Keyes will give a plenary lecture on November 14 at 2:15 p.m. as part of a special awards session.

Keyes, the Fu Foundation Professor of Applied Physics and Applied Mathematics at Columbia University, is being recognized for his outstanding contributions to the development of scalable numerical algorithms for the solution of nonlinear partial differential equations and exceptional leadership in high-performance computation.

Dr. Keyes is world-renowned for contributions to "Newton-Krylov-Schwarz" methods for the efficient solution of nonlinear partial differential equations on high performance computers. These methods are at the heart of many applications, including aerodynamics, radiation transport, acoustics, and magnetohydrodynamics. They have been incorporated into open mathematical software libraries that have enabled hundreds of users to make efficient use of parallel computers, from small clusters to the world's largest computers. He also has played a major role in the high-performance computing community through his professional service and leadership of the DOE SciDAC TOPS center.

"Dr. Keyes is well deserving of this prestigious award. He has made major advances in both the theory and application of scalable numerical algorithms, and in so doing, has enabled the simulation of many important physical phenomena. Keyes is proof that Fernbach's spirit is alive and well," said Steven Ashby, SC07 Awards Chair of Lawrence Livermore National Laboratory.

The Sidney Fernbach Memorial Award honors innovative uses of high performance computing in problem solving. This award was established in 1992 in memory of Sidney Fernbach, one of the pioneers in the development and application of high performance computers for the solution of large computational problems. A certificate and $2,000 are awarded for innovative approaches and outstanding contributions in the application of high performance computers.

More information on the presentation is available at http://sc07.supercomp.org/?pg=awards.html.

About SC07

SC07, sponsored by ACM and IEEE, is the premier international conference on high performance computing, networking and storage, will showcase how high performance computing, networking, storage and analytics lead to advances in research, education and commerce. The conference includes technical and education programs, workshops, tutorials, an exhibit area, demonstrations and hands-on learning.

About IEEE

With nearly 100,000 members (40 percent of whom reside outside of the United States), the IEEE Computer Society (www.computer.org) is the world's leading organization of computer professionals. Founded in 1946, it is the largest of the 39 societies of the IEEE (Institute of Electrical and Electronics Engineers).

The Society is dedicated to advancing the theory, practice, and application of computer and information processing technology. Through its conferences, applications-related and research-oriented journals, local and student chapters, distance learning campus, technical committees, the Society promotes an active exchange of information, ideas, and technological innovation among its members. Its Certified Software Development Professional (CSDP) program feeds the demand for fully trained, competent software engineers as the computer industry has expanded and systems have become more complex and sophisticated requiring higher competence in building quality systems.

The IEEE Computer Society is also known throughout the world as the leading organization for developing technology standards in computing. Its Standards Activities Board provides an organizational framework and conducive environment within which to develop broadly accepted, sound, timely, and technically excellent standards that will advance the theory and practice of computing and information processing science and technology.

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Source: IEEE


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