Summary: High performance computing and applied mathematics are not separable. In this minisymposium we have speakers to present, for several different disciplines within the realm of applied mathematics, the current advantage and usage of high performance computing. We also indicate what the future requirements in each of these disciplines are for both computing and mathematics.
Related to applied mathematics on high performance computers is the notion of the parallel programming and knowledge of the machine architectures. Speakers will address these topics as well.
Day: July 3, 1995 Time: 10.00
G. Astfalk, Convex Computer Corp, USA:
High performance computing and applied mathematics: expectations
for the future
K. Burrage, The University of Queensland, Australia:
A parallel implementation of a deflation algorithm for solving
large linear systems of equations
C. Douglas, IBM-Watson Research Center, USA:
High performance computing and numerical simulation of laminar
diffusion flames with finite rate chemistry
S.A. Zenios, University of Cyprus, Cyprus:
High-performance computing in financial modeling
Day: July 7, 1995 Time: 15.30
W.D. Gropp, Argonne National Laboratory, USA:
Why should software be called parallel?
R.J. Hanson, Visual Numerics Inc., USA:
A view of distributed mathematical software using Fortran 90
H.D. Simon, NASA Ames Research Center, USA:
Seven years of parallel computing at NAS (1987-1994): what have
we learned?
T. Sterling, Goddard Space Flight Center, USA:
HPC architecture requirements for earth and space science
applications