parallel_map

This is a simple package that adds a iterator_pmap and list_pmap, which has the exact same behaviour and interface as iterator.map and list.map, except it runs in parallel by spawning extra processes to do the work.

gleam add parallel_map

import gleam/list
import gleam/iterator
import gleam/result
import parallel_map

pub fn main() {
  let map_func = fn(a: Int) -> Int {a * a}

  let iterator_input = iterator.range(0, 1000)

  iterator_input
  |> iterator.map(map_func)

  // can be rewritten as
  iterator_input
  |> parallel_map.iterator_pmap(map_func, 16, 100)
  |> iterator.map(result.unwrap(_, -1))

  let list_input = list.range(0, 1000)

  list_input
  |> list.map(map_func)

  // can be rewritten as
  list_input
  |> parallel_map.list_pmap(map_func, 16, 100)
  |> list.map(result.unwrap(_, -1))
}

Further documentation can be found at https://hexdocs.pm/parallel_map.

Development

gleam run   # Run the project
gleam test  # Run the tests
gleam shell # Run an Erlang shell