T.I Gombosi, K.G. Powell,
Q F. Stout,
E.S. Davidson, D.L. DeZeeuw, L.A. Fisk, C.P.T. Groth, T.J. Linde, H.G.
Marshall, P.L. Roe, B. van Leer

Center for Space Environment
Modeling (CSEM)

University of Michigan

**Abstract:**
A new magnetohyrdrodynamics (MHD) code has been developed for massively
parallel computers, using adaptive mesh refinement (AMR) and a new 8-way
Riemann solver. A new data structure, adaptive blocks, has been developed
to help sustain high performance on AMR.
The code was implemented on a Cray T3D parallel computer
with 512 processors. In the first application, which modeled the expansion
of the solar wind from the solar surface, the code sustained 13 GFLOPS.
This code is the product of a NASA Grand Challenge Investigor Team, and
this is merely the initial results of an on-going project.

Much of our work has also been applied to fluid dynamics problems. In particular, our combined use of Roe solvers and AMR had proven quite useful, and the introduction of adaptive blocks has greatly increased achieved performance. (Here is a paper about adaptive blocks).

**Keywords:**
heliosphere, multi-scale model, space plasma, parallel computing,
supercomputing, Cartesian adaptive grid

**Complete paper:**
postscript
pdf
This paper appears in *High Performance Computing 1997*, pp. 46-51

- My work in modeling climate, atmospheric, and space systems: papers and an overview of research.
- My work in parallel computing: papers, and an overview of research.
- General parallel computing: an explanation of parallel computing, a tutorial, Parallel Computing 101, and a list of resources

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