Abstract
Data-parallel message-passing algorithms can be used to implement a high-performance GIS. This article reports on the performance of a key GIS operation made parallel through systematic declustering.
| Original language | English (US) |
|---|---|
| Pages | 42-48 |
| Number of pages | 7 |
| Volume | 29 |
| No | 12 |
| Specialist publication | Computer |
| DOIs | |
| State | Published - Dec 1996 |
Bibliographical note
Funding Information:This work is sponsored in part by the Army High Performance ComputingR esearch Center under the auspices of the US Army, Army Research Laboratory cooperative agreement DAAH04-95-2-0003/contracDt AAH04-95-C-0008. This work does not necessarily reflect the position or policy of the US government. This work is also supported in part by NSF grant CDA9414015.
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