Numerical methods and software
Numerical methods and software
Monitors, messages, and clusters: the p4 parallel programming system
Parallel Computing - Special issue: message passing interfaces
The design of a standard message passing interface for distributed memory concurrent computers
Parallel Computing - Special issue: message passing interfaces
Modelling Photochemical Pollution using Parallel and Distributed Computing Platforms
PARLE '94 Proceedings of the 6th International PARLE Conference on Parallel Architectures and Languages Europe
LSODE and LSODI, two new initial value ordinary differnetial equation solvers
ACM SIGNUM Newsletter
Massive data set issues in air pollution modelling
Handbook of massive data sets
Efficient data IO for a Parallel Global Cloud Resolving Model
Environmental Modelling & Software
Advances in Engineering Software
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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.