Many programming languages allow you to specify computations to be run in parallel.
While Concurrent computing is focused on concurrency,
the purpose of this task is to distribute time-consuming calculations
on as many CPUs as possible.

Assume we have a collection of numbers, and want to find the one
with the largest minimal prime factor
(that is, the one that contains relatively large factors).
To speed up the search, the factorization should be done
in parallel using separate threads or processes,
to take advantage of multi-core CPUs.

Show how this can be formulated in your language.
Parallelize the factorization of those numbers,
then search the returned list of numbers and factors
for the largest minimal factor,
and return that number and its prime factors.

For the prime number decomposition
you may use the solution of the Prime decomposition task.

 
#lang racket
(require math)
(provide main)
 
(define (smallest-factor n)
  (list (first (first (factorize n))) n))
 
(define numbers 
  '(112272537195293 112582718962171 112272537095293
    115280098190773 115797840077099 1099726829285419))
 
(define (main)
  ; create as many instances of Racket as
  ; there are numbers:
  (define ps 
    (for/list ([_ numbers])
      (place ch
             (place-channel-put 
              ch
              (smallest-factor
               (place-channel-get ch))))))
  ; send the numbers to the instances:
  (map place-channel-put ps numbers)
  ; get the results and find the maximum:
  (argmax first (map place-channel-get ps)))
 