William D. Gropp
Director and Chief Scientist, National Center for Supercomputing Applications
Thomas M. Siebel Chair in Computer Science
Computer Science Department
University of Illinois Urbana-Champaign
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My interest is in the use of high performance computing to solve problems that are too hard for other techniques. I have concentrated in two areas: the development of scalable numerical algorithms for partial differential equations (PDEs), especially for the linear systems that arise from approximations to PDEs, and the development of programming models and systems for expressing and implementing highly scalable applications. In each of these areas, I have led the development of software that has been widely adopted. PETSc is a powerful numerical library for the solution of linear and nonlinear systems of equations. MPI is the mostly widely used parallel programming system for large scale scientific computing. The MPICH implementation of MPI is one of the most widely used and is the implementation of choice for the world's fastest machines.
A new interest is the development of a Deep Learning Major Research Instrument Project, which combines my interests in HPC software and numerics and high-performance I/O with the revolution in machine learning.
I have an active research program and currently have openings for graduate students, post docs, and scientific programmers.
Of Special Interest
Workshop on Deep Learning for Multimessenger Astrophysics: Real-time Discovery at Scale, October 17-19, 2018 at NCSA.
2016 Ken Kennedy Lecture at SC16.
Our report on Future Directions for NSF Advanced Computing Infrastructure to Support U.S. Science and Engineering in 2017-2020 is now available! The report is freely available at that link, and provides a framework for NSF's advanced computing for the future (not just until 2020).
Using MPI, 3rd edition and Using Advanced MPI released!
MPICH2 wins an R&D 100 award in 2005.
Current Program Committees
|Computer Science Department||University of Illinois Urbana-Champaign|