Automatic parallelization of a crystal growth simulation program for distributed-memory systems
Automatic parallelization of a crystal growth simulation program for distributed-memory systems
This article outlines two parallelization tools, i.e. the Vienna Fortran Compilation System and FORGE 90, and discusses their analysis and transformation capabilities in the context of a regular grid application simulating the growth of a silicon crystal. We present performance results obtained on a...
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Personal Name(s): | Gerndt, Michael (Corresponding Author) |
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Contributing Institute: |
Jülich Supercomputing Center; JSC Zentralinstitut für Angewandte Mathematik; ZAM |
Published in: |
High-Performance Computing and Networking / Gentzsch, Wolfgang (Editor) Chapter 46 |
Imprint: |
Berlin/Heidelberg
Springer-Verlag
1994
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Physical Description: |
281-286 |
DOI: |
10.1007/BFb0020386 |
Conference: | High-Performance Computing and Networking, München (Germany), 1994-04-18 - 1994-04-20 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
ohne Topic |
Link: |
OpenAccess OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/11854 in citations.
This article outlines two parallelization tools, i.e. the Vienna Fortran Compilation System and FORGE 90, and discusses their analysis and transformation capabilities in the context of a regular grid application simulating the growth of a silicon crystal. We present performance results obtained on an iPSC/860 for both versions and for a manually parallelized version. |