How to resolve the algorithm Parallel calculations step by step in the Phix programming language

Published on 12 May 2024 09:40 PM

How to resolve the algorithm Parallel calculations step by step in the Phix programming language

Table of Contents

Problem Statement

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.

Let's start with the solution: