Parallel Standard ML with Skeletons

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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