Air quality modeling on massively parallel computers
The use of massively parallel computers provides an avenue to overcome the computational requirements of air quality modeling. General considerations on parallel implementation of air quality models are outlined including domain decomposition. The implementation of the CIT urban photochemical model on the Intel Touchstone Delta, a distributed memory multiple instruction/multiple data (MIMD) machine is described. When both the transport and chemistry portions of the model are parallelized, a speed-up of about 30 is achieved using 256 processors.
This work was supported in part by a grant from the IBM Environmental Research Program. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the IBM corporation. This research was performed in part using the Intel Delta System operated by Caltech on behalf of the Concurrent Supercomputing Consortium.