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Parallel computation in atmospheric chemical modeling

Dabdub, Donald and Seinfeld, John H. (1996) Parallel computation in atmospheric chemical modeling. Parallel Computing, 22 (1). pp. 111-130. ISSN 0167-8191. doi:10.1016/0167-8191(95)00063-1.

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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.

Item Type:Article
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URLURL TypeDescription
Dabdub, Donald0000-0002-5130-4122
Seinfeld, John H.0000-0003-1344-4068
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.
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IBM Environmental Research ProgramUNSPECIFIED
Environmental Protection Agency (EPA)CR 822051-01-0
Issue or Number:1
Record Number:CaltechAUTHORS:20230226-660977600.2
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ID Code:119504
Deposited By: Tony Diaz
Deposited On:28 Feb 2023 17:01
Last Modified:28 Feb 2023 17:01

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