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  • Python

Idiom #352 Parallelize 3 computations

Execute the functions f1, f2, f3 concurrently, and assign their respective return values to a1, a2, a3.

from concurrent.futures import ThreadPoolExecutor
e = ThreadPoolExecutor()
futures = [e.submit(func) for func in (f1, f2, f3)]
a1, a2, a3 = [f.result() for f in futures]
import "sync"
var wg sync.WaitGroup
wg.Add(3)
go func() {
	a1 = f1()
	wg.Done()
}()
go func() {
	a2 = f2()
	wg.Done()
}()
go func() {
	a3 = f3()
	wg.Done()
}()
wg.Wait()

3 new goroutines
New implementation...
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programming-idioms.org 
e = ThreadPoolExecutor()
futures = [e.submit(func) for func in (f1, f2, f3)]
a1, a2, a3 = [f.result() for f in futures]
var wg sync.WaitGroup
wg.Add(3)
go func() {
	a1 = f1()
	wg.Done()
}()
go func() {
	a2 = f2()
	wg.Done()
}()
go func() {
	a3 = f3()
	wg.Done()
}()
wg.Wait()
List<Future<T>> a;
try (ExecutorService executorService = Executors.newFixedThreadPool(3)) {
    a = executorService.invokeAll(List.of(f1, f2, f3));
}

T a1 = a.get(0).get();
T a2 = a.get(1).get();
T a3 = a.get(2).get();
  ThreadCount := 3;
  BeginThread(@f1,@a1);
  BeginThread(@f2,@a2);
  BeginThread(@f3,@a3);
  while ThreadCount > 0 do ;

def f1 = __method__
def f2 = __method__
def f3 = __method__

ractors = [Ractor.new{f1}, Ractor.new{f2}, Ractor.new{f3} ]
a1, a2, a3 = ractors.map(&:take)