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EN
An approach based on algebraic treatment of programs and advanced transition system operational semantics is described for asynchronous communication of parallel distributed/shared memory programs. The approach aimes at efficient synchronization and combines compile- and run-time data flow analysis to improves computation and communication overlapping. A number of semantic models of data exchanges of increasing power for asynchronous communication in distributed environment are constructed. Two programming abstractions, exchange environs and coordination expressions, aimed to reduce communication and synchronization overhead are derived from the theory. The program models constructed give more theoretical insight into the nature of parallelism of computation and communication and have immediate practical influence on parallel programming. Particularly automatic resolution of some classes of communication deadlocks are allowed and enhancement of data parallel paradigm of computation can be provided.
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