| Hauptseite > Publikationsdatenbank > Automatic parallelization of a crystal growth simulation program for distributed-memory systems > print |
| 001 | 189222 | ||
| 005 | 20210129215327.0 | ||
| 024 | 7 | _ | |a 10.1007/BFb0020386 |2 doi |
| 024 | 7 | _ | |a 2128/11854 |2 Handle |
| 037 | _ | _ | |a FZJ-2015-02413 |
| 100 | 1 | _ | |a Gerndt, Michael |0 P:(DE-HGF)0 |b 0 |e Corresponding Author |
| 111 | 2 | _ | |a High-Performance Computing and Networking |g HPCN'94 |c München |d 1994-04-18 - 1994-04-20 |w Germany |
| 245 | _ | _ | |a Automatic parallelization of a crystal growth simulation program for distributed-memory systems |
| 260 | _ | _ | |a Berlin/Heidelberg |c 1994 |b Springer-Verlag |
| 295 | 1 | 0 | |a High-Performance Computing and Networking / Gentzsch, Wolfgang (Editor) Chapter 46 |
| 300 | _ | _ | |a 281-286 |
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| 520 | _ | _ | |a 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. |
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