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This article describes our experience using optimistic synchronization to implement atomic operations in the context of a parallelizing compiler for object-based programs.
Optimistic Synchronization: It identifies optimistic synchronization as an effective synchronization mechanism for atomic operations in the context of a parallelizing compiler for object-based programs.
Symbolic dependence analysis for highperformance parallelizing compilers.
Shared-memory parallelizing compilers apply program transformations to expose or enhance parallelism in scientific codes, using dependence information to determine their legality and profitability [1, 21, 23, 34].
Current research interests include parallel and distributed systems, optimizing and parallelizing compilers.
We have implemented dynamic feedback in the context of a parallelizing compiler for object-based programs.
Demonstration of automatic data partitioning techniques for parallelizing compilers on multicomputers.
These results support the thesis that it is possible to use commutativity analysis as the basis for a successful parallelizing compiler.
Granted, parallelizing compilers are the only way to parallelize existing programs without rewriting them.
We've found PGI to be a reliable partner who can supply us with robust state-of-the-art parallelizing compilers which we integrate into our systems with a minimum of internal effort.
With the Intel Architecture becoming the foundation for many large scale parallel systems, it's logical that the demand for optimizing, parallelizing compilers will increase significantly.