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-rw-r--r--lib/Benchmark.pm36
1 files changed, 22 insertions, 14 deletions
diff --git a/lib/Benchmark.pm b/lib/Benchmark.pm
index b3282b6223..767cb67d13 100644
--- a/lib/Benchmark.pm
+++ b/lib/Benchmark.pm
@@ -273,7 +273,9 @@ sub init {
sub debug { $debug = ($_[1] != 0); }
-sub clearcache { delete $cache{$_[0]}; }
+# The cache needs two branches: 's' for strings and 'c' for code. The
+# emtpy loop is different in these two cases.
+sub clearcache { delete $cache{"$_[0]c"}; delete $cache{"$_[0]s"}; }
sub clearallcache { %cache = (); }
sub enablecache { $cache = 1; }
sub disablecache { $cache = 0; }
@@ -362,11 +364,18 @@ sub runloop {
croak "runloop unable to compile '$c': $@\ncode: $subcode\n" if $@;
print STDERR "runloop $n '$subcode'\n" if $debug;
- $t0 = Benchmark->new(0);
+ # Wait for the user timer to tick. This makes the error range more like -0.01, +0. If
+ # we don't wait, then it's more like -0.01, +0.01. This may not seem important, but it
+ # significantly reduces the chances of getting too low initial $n in the initial, 'find
+ # the minimum' loop in &runfor. This, in turn, can reduce the number of calls to
+ # &runloop a lot, and thus reduce additive errors.
+ my $tbase = Benchmark->new(0)->[1];
+ do {
+ $t0 = Benchmark->new(0);
+ } while ( $t0->[1] == $tbase ) ;
&$subref;
$t1 = Benchmark->new($n);
$td = &timediff($t1, $t0);
-
timedebug("runloop:",$td);
$td;
}
@@ -377,12 +386,12 @@ sub timeit {
my($wn, $wc, $wd);
printf STDERR "timeit $n $code\n" if $debug;
-
- if ($cache && exists $cache{$n}) {
- $wn = $cache{$n};
+ my $cache_key = $n . ( ref( $code ) ? 'c' : 's' ) ;
+ if ($cache && exists $cache{$cache_key} ) {
+ $wn = $cache{$cache_key};
} else {
- $wn = &runloop($n, '');
- $cache{$n} = $wn;
+ $wn = &runloop($n, ref( $code ) ? sub { undef } : '' );
+ $cache{$cache_key} = $wn;
}
$wc = &runloop($n, $code);
@@ -414,24 +423,23 @@ sub runfor {
my ($n, $td, $tc, $ntot, $rtot, $utot, $stot, $cutot, $cstot );
- # First find the minimum $n that gives a non-zero timing.
+ # First find the minimum $n that gives a significant timing.
my $nmin;
- for ($n = 1, $tc = 0; $tc <= 0; $n *= 2 ) {
+ for ($n = 1, $tc = 0; ; $n *= 2 ) {
$td = timeit($n, $code);
$tc = $td->[1] + $td->[2];
+ last if $tc > 0.1 ;
}
$nmin = $n;
my $ttot = 0;
my $tpra = 0.05 * $tmax; # Target/time practice.
-
# Double $n until we have think we have practiced enough.
- for ( $n = 1; $ttot < $tpra; $n *= 2 ) {
+ for ( ; $ttot < $tpra; $n *= 2 ) {
$td = timeit($n, $code);
- $tc = $td->cpu_p;
$ntot += $n;
$rtot += $td->[0];
$utot += $td->[1];
@@ -446,7 +454,7 @@ sub runfor {
# Then iterate towards the $tmax.
while ( $ttot < $tmax ) {
$r = $tmax / $ttot - 1; # Linear approximation.
- $n = int( $r * $n );
+ $n = int( $r * $ntot );
$n = $nmin if $n < $nmin;
$td = timeit($n, $code);
$ntot += $n;