Parallel Standard ML with Skeletons

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Norman Scaife
Greg Michaelson
Susumu Horiguchi


We present an overview of our system for automatically extracting parallelism
from Standard ML programs using algorithmic skeletons.
This system identifies a small number of higher-order functions as sites of
parallelism and the compiler uses profiling and transformation techniques to
exploit these.

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