A Scheme to Enforce Data Dependence on Large Multiprocessor Systems
IEEE Transactions on Software Engineering
Performance evaluation for an ocean general circulation model: vectorization andmultitasking
ICS '88 Proceedings of the 2nd international conference on Supercomputing
Cedar Fortran and other vector and parallel Fortran dialects
The Journal of Supercomputing
Computing climate change: can we beat nature?
Proceedings of the 1991 ACM/IEEE conference on Supercomputing
Practical Parallel Band Triangular System Solvers
ACM Transactions on Mathematical Software (TOMS)
Parallel Ocean Circulation Modeling on Cedar
Proceedings of the Fifth SIAM Conference on Parallel Processing for Scientific Computing
The Parallelization of the Princeton Ocean Model
Euro-Par '99 Proceedings of the 5th International Euro-Par Conference on Parallel Processing
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We present the design of the GFDL ocean circulation model as adapted for simulations of the Mediterranean basis for the Cedar multicluster architecture. The model simulates the basic aspects of large-scale, baroclinic ocean circulation, including treatment of irregular bottom topography. The data and computational mapping strategies and their effect on the design are discussed. The code was parametrized to offer several choices for data partitionings of the computational domain, for placement strategies for the data in the memory hierarchy, and for the number of clusters and processors used in the computational hierarchy of Cedar. The experiments and performance trends are discussed. Using four clusters and 32 processors the code demonstrates significant speedup compared to a single cluster and compared to a single processor.