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- W1605955985 abstract "In this paper we quantify the effect of this trend in multiprocessor architecture on parallel program performance. Our experiments on bus-based, cache-coherent machines like the Sequent Symmetry, and large-scale distributed-memory machines like the BBN Butterfly, demonstrate that applications scale much better on previous-generation machines than on current machines. In addition, we show that some scalable machines support fine-grain, shared-memory programs better than some bus-based, cache-coherent machines, without significantly greater programming effort. From our experiments we conclude that communication has become a dominant source of inefficiency in shared-memory multiprocessors, with serious consequences for system software involved in scheduling and decomposition decisions. In particular, we argue that shared-memory programming models that could be implemented efficiently on the machines of yesterday do not readily port to state-of-the-art machines, and that current software trends in support of fine-grain parallel programming are at odds with hardware trends." @default.
- W1605955985 created "2016-06-24" @default.
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- W1605955985 date "1992-05-01" @default.
- W1605955985 modified "2023-09-27" @default.
- W1605955985 title "Shared-Memory Multiprocessor Trends and the Implications for Parallel Program Performance" @default.
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