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William Gropp and Jed Brown win SIAG on Supercomputing Career and Junior Scientist prizes

SIAM is pleased to announce William D. Gropp as the recipient of the 2014 SIAM Activity Group on Supercomputing (SIAG/SC) Career Prize.

The prize, which is awarded biennially at the SIAM Conference on Parallel Processing for Scientific Computing, is given to an outstanding senior researcher who has held a PhD or equivalent degree for at least fifteen years, and has made broad and distinguished contributions to the field of algorithms research and development for parallel scientific and engineering computing.

Professor Gropp was awarded the prize for his excellence in research, contributions to numerical software for linear algebra, high-performance parallel and distributed computation, and exceptional service to the scientific community.

The Thomas M. Siebel Chair in Computer Science at the University of Illinois at Urbana-Champaign, Gropp’s research interests are in high performance scientific computing with particular emphasis on parallel computing, development of the message passing interface, and hierarchical numerical methods for the numerical solution of partial differential equations.

As part of the award, Gropp delivered a brief plenary lecture, “A Tale of Two Timelines,” at the SIAG/SC Prize Talks session at the PP14 meeting on Friday, February 21.  He was presented with a plaque and a prize certificate.

Jed Brown has been awarded the SIAM Activity Group on Supercomputing Junior Scientist Prize.

The prize is awarded to an outstanding junior researcher for significant research contributions to algorithms for parallel computing in science and engineering in the three calendar years prior to the year of the award.

Dr. Brown was given the award for his work on algorithms research and impact on software development for parallel scientific computing.

Brown is a an assistant computational mathematician at Argonne National Laboratory, and his area of research includes scalable solvers for implicit multiphysics, high order PDE discretization in complex geometry, compatible discretizations for heterogeneous flows, and PDE-constrained optimization. His work has an emphasis on robust and high performance parallel software, usually relating to PETSc.

Brown was presented with a plaque and a prize certificate as part of the award. He delivered a brief plenary talk, titled “Exploits in Implicitness: Hardware, Problem Structure, and Library Design,” at the SIAG/SC Prize Talks session held on Friday, February 21 at the SIAM Conference on Parallel Processing for Scientific Computing (PP14).

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