For contributions to algorithms and software for numerical linear algebra used in scientific computing and large-scale data analysis. Jim Demmel introduced a geometric view of error that could be applied to a broad class of known but unstable eigenvalue (and other) computations to produce methods that worked efficiently and had provably small error. This work served as an important view in the field for others as well for his own work. His theoretical work also identified and analyzed the impact of communication in finding optimal methods in numerical analysis. All the while, Professor Demmel was crucially involved in the implementation of provably reliable methods in LAPACK, the definitive and central code used whenever accuracy and speed is desired. Professor Demmel was deeply involved at various levels ranging from fast and accurate algorithms for the singular value decomposition to floating point issues. Professor Demmel's theoretical work in scalable systems is evident in his extensive involvement in scalable implementations of eigenvalue computations in ScaLAPACK. His joint work on the implementations of matrix factorizations central to solving sparse linear systems is embodied in SuperLU, the thesis work of his PhD student, Xiaoye Li. These libraries have been used in many scientific research projects, including some cover articles in Nature and Science. Press Release
For outstanding contributions to scientific computing, parallel processing and software engineering.
Demmel is known for his work on LAPACK, a software library for numerical linear algebra and more generally for research in numerical algorithms combining mathematical rigor with high performance implementation.Prometheus, a parallel multigrid finite element solver written by Demmel, Mark Adams, and Robert Taylor, won the Carl Benz Award at Supercomputing 1999 and the Gordon Bell Prize for Adams and his coworkers at Supercomputing 2004.
Demmel was elected as a member of the National Academy of Engineering in 1999,a fellow of the Association for Computing Machinery in 1999, a fellow of the IEEE in 2001, a fellow of SIAM in 2009, and a member of the United States National Academy of Sciences in 2011.Demmel was one of two scientists honored in 1986 with the Leslie Fox Prize for Numerical Analysis.In 1993, Demmel won the J.H. Wilkinson Prize in Numerical Analysis and Scientific Computing, and in 2010, he was the winner of the IEEE's Sidney Fernbach Award "for computational science leadership in creating adaptive, innovative, high-performance linear algebra software". In 2012 he became a fellow of the American Mathematical Society.He received the IEEE Computer Society Charles Babbage Award in 2013.