Run-time scheduling and execution of loops on message passing machines
Journal of Parallel and Distributed Computing - Special issue: algorithms for hypercube computers
Updating distributed variables in local computations
Concurrency: Practice and Experience
Experience with interprocedural analysis of array side effects
Proceedings of the 1990 ACM/IEEE conference on Supercomputing
Execution time support for adaptive scientific algorithms on distributed
Concurrency: Practice and Experience
Compiler optimizations for Fortran D on MIMD distributed-memory machines
Proceedings of the 1991 ACM/IEEE conference on Supercomputing
An Implementation of Interprocedural Bounded Regular Section Analysis
IEEE Transactions on Parallel and Distributed Systems
Compiler and runtime support for structured and block structured applications
Proceedings of the 1993 ACM/IEEE conference on Supercomputing
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Regular meshes are frequently used for modeling physical phenomena on both serial and parallel computers. One advantage of regular meshes is that efficient discretization schemes can be implemented in a straightforward manner. However, geometrically-complex objects, such as aircraft, cannot be easily described using a single regular mesh. Multiple interacting regular meshes are frequently used to describe complex geometries. Each mesh models a subregion of the physical domain. The meshes, or subdomains, can be processed in parallel, with periodic updates carried out to move information between the coupled meshes. In many cases, there are a relatively small number (one to a few dozen) subdomains, so that each subdomain may also be partitioned among several processors.We outline a composite run-time/compile-time approach for supporting these problems efficiently on distributed-memory machines. This paper describes these methods in the context of a multiblock fluid dynamics problem developed at the NASA Langley Research Center.