But at the same time, you've just added a transcendental function to every loop iteration, which is a much more expensive operation than a multiplication. As I pointed out in Re^3: how to multiply an array of number as fast as posible. A more fair comparison would be scaling the operations so that we avoid INFs in the first place:

#!/usr/bin/perl use strict; use warnings; use Benchmark qw':all :hireswallclock'; use threads; cmpthese(10, { 'for' => sub { my $k = 1; for (230000 .. 900000) { $k *= 1 + $_* 0.0000000001; } #print "for: $k\n"; }, 'threads' => sub { my $thr2 = async { my $k = 1; for (565001 .. 900000) { $k *= 1 + $_* 0.0000000001; } return $k; }; my $k = 1; for (230000 .. 565000) { $k *= 1 + $_* 0.0000000001; } $k *= $thr2->join(); #print "threads: $k\n"; } });

I've replaced one multiplication per iteration with 2 multiplications and an addition (plus the store), which should shift the balance toward threads. And yet, the benchmark comes out in favor of single-threaded operation:

Rate threads for threads 2.92/s -- -35% for 4.48/s 53% --

In reply to Re^3: how to multiply an array of number as fast as posible by kennethk
in thread how to multiply an array of number as fast as posible by baxy77bax

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