(pmap-with-progress label f coll)
(pmap-with-progress label f coll & colls)
Like map, except f is applied in parallel. Semi-lazy in that the parallel computation stays ahead of the consumption, but doesn't realize the entire result unless required. Only useful for computationally intensive functions where the time of f dominates the coordination overhead.
Like map, except f is applied in parallel. Semi-lazy in that the parallel computation stays ahead of the consumption, but doesn't realize the entire result unless required. Only useful for computationally intensive functions where the time of f dominates the coordination overhead.
(ppmap grain-size f & colls)
Partitioned pmap, for grouping map ops together to make parallel overhead worthwhile
Partitioned pmap, for grouping map ops together to make parallel overhead worthwhile
(ppmap-with-progress print-label grain-size f & colls)
Partitioned pmap, for grouping map ops together to make parallel overhead worthwhile
Partitioned pmap, for grouping map ops together to make parallel overhead worthwhile
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