Published January 1996
| public
Journal Article
Parallel computation in atmospheric chemical modeling
- Creators
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Dabdub, Donald
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Seinfeld, John H.
Abstract
The porting of atmospheric chemical dynamic models to massively parallel computers presents interesting computational challenges. Strategies for the parallelization of the transport and chemistry operators of atmospheric models are outlined. The use of parallel buffers to perform input/output operations is described. Results are given for implementation of the CIT urban air pollution model on distributed memory multiple instruction/multiple data (MIMD) machines ranging from a cluster of workstations to a 512 node Intel Paragon. A speed-up factor of 94.9 is achieved when the I/O, transport, and chemistry portions of the model are performed in parallel using 256 nodes of the Intel Paragon.
Additional Information
This work was supported in part by a grant from the IBM Environmental Research Program. Any opinions, findings and conclusions or recommendations ex.pressed in this material are those of the authors and do not necessarily reflect the views of the IBM Corporation. The information in this document has been funded wholly or in part by the United States Environmental Protection Agency High Performance Computing and Communication Program under cooperative agreement CR 822051-01-0. This research was performed in part using the Intel Delta System and the Intel Paragon System operated by Caltech on behalf of the Concurrent Supercomputing Consortium.Additional details
- Eprint ID
- 119504
- Resolver ID
- CaltechAUTHORS:20230226-660977600.2
- IBM Environmental Research Program
- CR 822051-01-0
- Environmental Protection Agency (EPA)
- Created
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2023-02-28Created from EPrint's datestamp field
- Updated
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2023-02-28Created from EPrint's last_modified field