6th International Conference on
Modeling, Simulation and Optimization of Complex Processes
March 16-20, 2015 — Hanoi, Vietnam
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Iterative Methods for Parallel Computing

Organizers: Martin Jakob Gander and Laurence Halpern

In 2004, the visionary prediction of Nievergelt from 1964 finally became truth: the clock speed of processors is not increasing any more, and Moore's law only continues because of parallelism. Increasing computing power is currently only possible by adding more and more cores in computers, and parallel computing has become ubiquitous, both at the small scale of multicore machines, and at the large scale of supercomputers with processor numbers in the millions. The development and analysis of parallel algorithms is therefore more important than ever for simulations in the sciences and engineering. This miniysmposium will give an overview of the most recent results in this fascinating area of research.

Ord. Authors Title
1 D. Q. A
T. D. Hung
On a Parallel Method for Solving some Boundary Value Problems in a Semistrip
2 M. J. Gander
L. Halpern
V. Martin
A new Algorithm Based on Factorization for Heterogeneous Domain Decomposition
3 F. Kwok
Schwarz Methods for the Time-Parallel Solution of Parabolic Control Problems
4 S. Labbé
Domain decomposition for micromagnetism: how to manage non-local contribution?
5 M. B. Tran
Nonlinear Approximation Theory for the Homogeneous Boltzmann Equation

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International Conference on High Performance Scientific Computing, March 16-20, 2015, Hanoi, Vietnam