Sidney Fernbach Award

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About the Sidney Fernbach Award

Deadline for 2018 Nominations: 1 July 2018

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 outstanding contributions in the application of high performance computers using innovative approaches. Learn more about Sidney Fernbach.

The award nomination requires a minimum of 3 endorsements.

Fernbach Past Recipients

2016 Vipin Kumar For foundational work on understanding scalability, and highly scalable algorithms for graph partitioning, sparse linear systems and data mining.
2015 Alexander Szalay For his outstanding contributions to the development of data-intensive computing systems and on the application of such systems in many scientific areas including astrophysics, turbulence, and genomics.
2014 Satoshi Matsuoka For his work on software systems for high-performance computing on advanced infrastructural platforms, large-scale supercomputers, and heterogeneous GPU/CPU supercomputers.
2013 Christopher R. Johnson For outstanding contributions and pioneering work introducing computing, simulation, and visualization into many areas of biomedicine.
2012 Laxmikant V. Kale
Klaus Schulten
For outstanding contributions to the development of widely used parallel software for large biomolecular systems simulation.
2011 Cleve Moler For fundamental contributions to linear algebra, mathematical software, and enabling tools for computational science.
2010 James W. Demmel For computational science leadership in creating adaptive, innovative, high performance linear algebra software.
2009 Roberto Car
Michele Parrinello
For leadership in creating the modern theoretical and practical foundations for modeling the chemistry and physics of materials.  The software resulting from this work is one of the enabling tools for materials science modeling.
2008 William D. Gropp For outstanding contributions to the development of domain decomposition algorithms, scalable tools for the parallel numerical solution of PDEs, and the dominant HPC communications interface.
2007 David E. Keyes For outstanding contributions to the development of scalable numerical algorithms for the solution of nonlinear partial differential equations and exceptional leadership in high-performance computation.
2006 Edward Seidel For outstanding contributions to the development of software for HPC and Grid computing to enable the collaborative numerical investigation of complex problems in physics; in particular, modeling black hole collisions.
2005 John B. Bell For outstanding contributions to the development of numerical algorithms, mathematical, and computational tools and on the application of those methods to conduct leading-edge scientific investigations in combustion, fluid dynamics, and condensed matter.
2004 Marsha Berger For her many contributions, and enormous, influence to computational fluid dynamics including adaptive mesh refinement methods, Cartesian grid methods, and practical mathematical algorithms for solving significantly heretofore intractable problems.
2003 Jack J. Dongarra For outstanding and sustained contributions to the area of mathematical software, most particularly in the areas of communication and numerical libraries and performance benchmarks for high performance computing.
2002 Robert Harrison For developing a computational chemistry software package for applications development, by integrating fundamental algorithm research, novel ideas in computer science, and scalability, while delivering unprecedented modeling capabilities for chemistry applications.
2000 Stephen W. Attaway For pioneering advances in methods for modeling transient dynamics phenomena, enabling simulations of unprecedented scale and fidelity.
1999 Michael L. Norman For his leading edge research in applying parallel computing to challenge grand problems in astrophysics and cosmology.
1998 Phillip Colella For fundamental contributions to the development of software methodologies used to solve numerical partial differential equations, and their application to substantially expand our understanding of shock physics and other fluid dynamics problem.
1997 Charbel Farhat For outstanding contributions to the development of parallel numerical algorithms and parallel software packages that have helped the mechanical engineering world to embrace parallel processing technology.
1996 Gary A. Glatzmaier For innovative computational numerical methods to perform the first realistic computer simulations of the Earth's geodynamo and its resultant time-dependent magnetic field.
1995 Paul R. Woodward For your work in developing new algorithmic techniques in fluid dynamics, & your relentless & innovative pursuit of the hardware & software capabilities to carry out & visualize in real time the largest turbulence simulations.
1994 Charles S. Peskin For innovative application of mathematical modeling methods to important practical research questions in blood flow and the heart that has for more than 15 years pushed forward the leading edge of computational capability and helped to develop supercomputing technology as a valuable tool for improving the quality of human life.
1993 David H. Bailey For contributions to numerical computational science including innovative algorithms for FFT's, matrix multiply and multiple precision arithmetic on vector computer architecture.


Fernbach Subcommittee Chair

2017 Sidney Fernbach Subcommittee Chair

Marc Snir, University of Illinois at Urbana-Champaign


Nomination Deadline for 2018 Nominations: 1 July 2018


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Fernbach Press Releases

Vipin Kumar Recognized with 2016 IEEE Computer Society Sidney Fernbach Award

LOS ALAMITOS, Calif., 20 September 2016Vipin Kumar, a professor at University of Minnesota, Computer Science and Engineering Department, has been named recipient of the 2016 IEEE Computer Society Sidney Fernbach Award, one of IEEE Computer Society's highest awards.  Kumar was recognized "for foundational work on understanding scalability, and highly scalable algorithms for graph partitioning, sparse linear systems, and data mining."
Established in 1992 in memory of high-performance computing pioneer Sidney Fernbach, the Fernbach Award recognizes outstanding contributions in the application of high-performance computers using innovative approaches. The award consists of a certificate and a $2,000 honorarium.  Kumar will be presented with his award on Tuesday, 15 November at SC16 in Salt Lake City, Utah.
Kumar is a Regents Professor at the University of Minnesota, where he holds the William Norris Endowed Chair in the Department of Computer Science and Engineering. Kumar received the B.E. degree in Electronics & Communication Engineering from Indian Institute of Technology Roorkee (formerly, University of Roorkee), India, in 1977, the M.E. degree in Electronics Engineering from Philips International Institute, Eindhoven, Netherlands, in 1979, and the Ph.D. degree in Computer Science from University of Maryland, College Park, in 1982.
Prof. Kumar is known world-wide for his seminal contributions to parallel and distributed computing and to the emerging field of Big Data. His work on analyzing the scalability of parallel systems using the  isoefficiency metric has provided the basis for designing and evaluating large scale parallel computers. Algorithms and software developed by his group for solving large sparse linear systems,  graph partitioning, and high performance data mining are critical for diverse scientific, engineering, and biomedical, applications. He has played a pioneering role in bringing Big Data and earth science together to address one of the grand challenges of our times—understanding the impact of human induced changes on the earth system and its environment. Kumar is the Lead PI of a 5-year, $10 Million project, "Understanding Climate Change - A Data Driven Approach", funded by the NSF's Expeditions in Computing program that is aimed at defining the future of computing and information.
Kumar also served as the Head of the Computer Science and Engineering Department from 2005 to 2015 and the Director of Army High Performance Computing Research Center (AHPCRC) from 1998 to 2005.
He has authored over 300 research articles, and has coedited or coauthored 10 books including two text books "Introduction to Parallel Computing'' and “Introduction to Data Mining'', that are used world-wide and have been translated into many languages. Kumar's foundational research in data mining and its applications to scientific data was honored by the ACM SIGKDD 2012 Innovation Award, which is the highest award for technical excellence in the field of Knowledge Discovery and Data Mining (KDD).
Kumar is an ACM Fellow, a Fellow of IEEE, and a Fellow of the American Association for Advancement of Science.