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Extra info for Parallel Computational Fluid Dynamics 1997. Recent Developments and Advances Using Parallel Computers

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In Proc ICIAM 1995, 1996. 2. C. lerotheou, S. P. Johnson, M. Cross, and P. F. Leggett. Computer aided parallelisation tools (CAPTools) - conceptual overview and performance on the parallelisation of structured mesh codes. Parallel Computing, 22:163-195, March 1996. 3. C. lerotheou, S. P. Johnson, K. McManus, P. F. Leggett, and M. Cross. Semiautomatic parallelisation of unstructured mesh codes. May 1997. In this volume. 4. S. P. Johnson, C. lerotheou, and M. Cross. Computer aided parallelisation of unstructured mesh codes.

Decentralised balancing is the natural approach when jobs are independent, and a global view of balancing would not yield substancially better load distributions. A large class of computations are not well characterised by job arrival model, and it may be advantageous to take a global, or centralised perspective when balancing [8,7]. A centralised mapping mechanism can exploit full knowledge of the computation and its behaviour. Furthermore, dependencies between different parts of a computation can be complex, making it difficult to dynamically move small pieces of the computation from processor in a decentralised way.

This yields to a conservative multilevel grid coarsening approach. Following the above ideas we develop an adaptive method called Adaptive Mesh Coarsening using Interpolation Technique (AMCIT) for solving the system of Euler equations in two space dimensions. In Section 2 we will give more details about this adaptation strategy. Furthermore AMCIT was constructed for an efficient use of parallel machines which requires special efforts in the development of a dynamic load balancing, cf. [11]. The parallelization will be described in Section 3.

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