JH Wilkinson Prize for Numerical Software

from Wikipedia, the free encyclopedia

The JH Wilkinson Prize for Numerical Software is awarded every four years for numerical software in the field of scientific computing . The award was awarded and sponsored by the Argonne National Laboratory , the National Physical Laboratory and the Numerical Algorithms Group (NAG) and from 2019 onwards by the SIAM . It is named after James H. Wilkinson (who spent his career at the three award-winning institutions) and is endowed with $ 3,000 .

It was awarded at the conferences of the International Council for Industrial and Applied Mathematics (ICIAM) and will be awarded at the SIAM Conference on Computational Science and Engineering from 2019. The winners will give a lecture there.

The prize is awarded to young scientists (the Ph.D. must not be more than twelve years ago). The selection is based on the clarity of the software implementation and documentation , the importance of the applications, portability , reliability, efficiency and usability of the software implementation, the clarity and depth of the analysis of the algorithms and the software in the accompanying texts and the quality of the test software.

Award winners

  • 1991 Linda Petzold for DASSL, a software package for solving differential-algebraic equations. The code is publicly available (public domain).
  • 1995 Christ Bischof , Alan Carle for ADIFOR 2.0, an automatic differentiating tool for Fortran-77 programs. The code is accessible for educational purposes and non-commercial research.
  • 1999 Matteo Frigo , Steven G. Johnson for FFTW, a C library for discrete Fourier transform.
  • 2003 Jonathan Shewchuk for Triangle, a two-dimensional grid generator and Delaunay triangulator. The program is freely available.
  • 2007 Wolfgang Bangerth , Guido Kanschat , Ralf Hartmann for deal.II, a software library for solving partial differential equations with adaptive finite elements. It is freely accessible.
  • 2011 Andreas Waechter , Carl Lair for IPOPT, an object-oriented library for solving large-scale continuous optimization problems. It is freely accessible.
  • 2015 Patrick Farrell (University of Oxford), Simon Funke (Simula Research Lab), David Ham (Imperial College London), Marie Rognes (Simula Research Lab) for Dolfin-adjoint, a software that automatically adjoints (nonlinear) partial differential equations from their Derives and solves finite element discretizations.
  • 2019 Stefan Karpinski , Viral Shah and Jeff Bezanson for the programming language Julia .

Web links

  1. ↑ Julia language creators receive the James H. Wilkinson Prize for Numerical Software. News from January 2, 2019 at heise.de.