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tech.parallel.for


indexed-pmapclj

(indexed-pmap indexed-pmap-fn num-iters)
(indexed-pmap indexed-pmap-fn num-iters concat-fn)

Given a function that receives a start-idx and group-len, efficiently run N that function over a set of integers return concatentated results. Uses ForkJoinPool's common pool for parallelism.

Given a function that receives a start-idx and group-len, efficiently run N that
function over a set of integers return concatentated results.  Uses ForkJoinPool's
common pool for parallelism.
sourceraw docstring

launch-parallel-forclj

(launch-parallel-for num-iters parallel-for-fn)
(launch-parallel-for num-iters parallel-for-fn concat-fn)

Given a function that takes exactly 2 arguments, a start-index and a length, call this function exactly N times where N is ForkJoinPool/getCommonPoolParallelism. Indexes will be split as evenly as possible among the invocations. Uses ForkJoinPool/commonPool for parallelism.

Given a function that takes exactly 2 arguments, a start-index and a length,
call this function exactly N times where N is ForkJoinPool/getCommonPoolParallelism.
  Indexes will be split as evenly as possible among the invocations.  Uses
  ForkJoinPool/commonPool for parallelism.
sourceraw docstring

parallel-forcljmacro

(parallel-for idx-var num-iters & body)

Like clojure.core.matrix.macros c-for except this expects index that run from 0 -> num-iters. Idx is named idx-var and body will be called for each idx in parallel. Uses forkjoinpool's common pool for parallelism

Like clojure.core.matrix.macros c-for except this expects index that run from 0 ->
num-iters.  Idx is named idx-var and body will be called for each idx in parallel.
Uses forkjoinpool's common pool for parallelism
sourceraw docstring

serial-forcljmacro

(serial-for idx-var num-iters & body)
source

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