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Parallel programming in Split-C
By: Lumetta, S.; Krishnamurthy, A.; Goldstein, S.C.; Dusseau, A.; Culler, D.E.; Yelick, K.; von Eicken, T.;
1993 / IEEE / 0-8186-4340-4
This item was taken from the IEEE Periodical ' Parallel programming in Split-C ' The authors introduce the Split-C language, a parallel extension of C intended for high performance programming on distributed memory multiprocessors, and demonstrate the use of the language in optimizing parallel programs. Split-C provides a global address space with a clear concept of locality and unusual assignment operators. These are used as tools to reduce the frequency and cost of remote access. The language allows a mixture of shared memory, message passing, and data parallel programming styles while providing efficient access to the underlying machine. The authors demonstrate the basic language concepts using regular and irregular parallel programs and give performance results for various stages of program optimization.
High Performance Programming
Distributed Memory Multiprocessors
Global Address Space
Data Parallel Programming
Software Performance Evaluation