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% --
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