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Shared memory programming for large scale machines
2006
Proceedings of the 2006 ACM SIGPLAN conference on Programming language design and implementation - PLDI '06
Motivation • Large scale machines (such as Blue Gene and large clusters) and parallelism (such as multi-core chips) are becoming ubiquitous • Shared memory programming is accepted as an easier programming model, but MPI is still the prevalent programming paradigm Why? • Because typically the performance of the shared memory programs lags behind and does not scale as well as the performance of MPI codes Programming Language Design and Implementation
doi:10.1145/1133981.1133995
dblp:conf/pldi/BartonCAZFCA06
fatcat:q23ngninufcv5izfloumwr3ruu