I will speak about my work on the PETSc library, a community effort that I help lead, which provides scalable parallel linear and nonlinear algebraic solvers. It is very often used to solve complex, multiphysics problems arising from PDEs, and I will show examples from molecular biology and geophysics.
Matthew G. Knepley received his B.S. in Physics from Case Western Reserve University in 1994, an M.S. in Computer Science from the University of Minnesota in 1996, and a Ph.D. in Computer Science from Purdue University in 2000. He was a Research Scientist at Akamai Technologies in 2000 and 2001. Afterwards, he joined the Mathematics and Computer Science department at Argonne National Laboratory (ANL), where he was an Assistant Computational Mathematician, and a Fellow in the Computation Institute at University of Chicago. In 2009, he joined the Computation Institute as a Senior Research Associate. In 2015, he joined the Computational and Applied Mathematics Department at Rice University as an Assistant Professor. His research focuses on scientific computation, including fast methods, parallel computing, software development, numerical analysis, and multicore architectures. He is an author of the widely used PETSc library for scientific computing from ANL, and is a principal designer of the PetFMM and PetRBF libraries, for the parallel fast multipole method and parallel radial basis function interpolation. He was a J.T. Oden Faculty Research Fellow at the Insitute for Computation Engineering and Sciences, UT Austin, in 2008. He won the R&D 100 Award in 2009, and the SIAM/ACM Prize in Computational Science and Engineering in 2015 as part of the PETSc team.