Proceedings of the 1996 ICPP Workshop on Challenges for Parallel Processing (1996)
Aug. 12, 1996 to Aug. 16, 1996
L. DeRose , Center for Supercomput. Res. & Dev., Illinois Univ., Urbana, IL, USA
K. Gallivan , Center for Supercomput. Res. & Dev., Illinois Univ., Urbana, IL, USA
E. Gallopoulos , Center for Supercomput. Res. & Dev., Illinois Univ., Urbana, IL, USA
Abstract: We present methods designed to enhance the performance of a parallel ocean circulation model (OCM). The underlying code is based on a primitive equations model of the Mediterranean Sea. We examine the characteristics of this basin and study the tradeoffs between minimising computations by avoiding sweeping over land areas vs. the higher computational rates achieved otherwise for a cluster based multiprocessor with hierarchical memory. Numerical experiments on Cedar, an architecture consisting of clusters of multiprocessors connected to a global shared memory, show the performance improvements that can be obtained when land avoidance is combined with a domain partitioning strategy designed to achieve load balancing.
oceanographic regions; resource allocation; digital simulation; simulation; shared memory systems; geophysics computing; parallel architectures; numerical analysis; geophysical fluid dynamics; oceanography; regional ocean simulation; load balancing; 3D land avoidance; parallel ocean circulation model; primitive equations model; Mediterranean Sea; ocean basin; minimised computations; computational rates; cluster based multiprocessor; hierarchical memory; numerical experiments; Cedar architecture; global shared memory; performance improvements; domain partitioning strategy
L. DeRose, K. Gallivan and E. Gallopoulos, "(R) 3-D Land Avoidance and Load Balancing in Regional Ocean Simulation," Proceedings of the 1996 ICPP Workshop on Challenges for Parallel Processing(ICPP), Bloomington, IL, 1996, pp. 0158.