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Converted -m 400 to password length 256 support

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Something weird happend here, read on!

I've expected some performance drop because this algorithm is using the password data itself inside the iteration loop.
That is different to PBKDF2, which I've converted in mode 2100 before and which did not show any performance as expected.

So after I've finished converting this kernel and testing everything works using the unit test, I did some benchmarks to see how much the
performance drop is.

On my 750ti, the speed dropped (minimal) from 981kH/s -> 948kH/s, that's mostly because of the SIMD support i had to drop.
If I'd turn off the SIMD support in the original, the drop would be even less, that us 967kH/s -> 948kH/s which is a bit of a more reasable
comparison in case we just want to rate the drop that is actually caused by the code change itself.

The drop was acceptable for me, so I've decided to check on my GTX1080.Now the weird thing: The performance increased from 6619kH/s to
7134kH/s!!

When I gave it a second thought, it turned out that:

1. The GTX1080 is a scalar GPU so it wont suffer from the drop of the SIMD code as the 750ti did
2. There's a change in how the global data (password) is read into the registers, it reads only that amount of data it actually needs by using
the pw_len information
3. I've added a barrier for CLK_GLOBAL_MEM_FENCE as it turned out to increase the performance in the 750ti

Note that this kernel is now branched into password length < 40 and larger.

There's a large drop on performance where SIMD is really important, for example CPU.

We could workaround this issue by sticking to SIMD inside the length < 40 branch, but I don't know yet how this can be done efficiently.
This commit is contained in:
jsteube
2017-06-22 13:49:15 +02:00
parent 0787b91327
commit 71d4926afa
4 changed files with 809 additions and 342 deletions
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tools/test.pl
+2 -2
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@@ -53,7 +53,7 @@ my @modes = (0, 10, 11, 12, 20, 21, 22, 23, 30, 40, 50, 60, 100, 101, 110, 111,
#my %is_utf16le = map { $_ => 1 } qw (30 40 130 131 132 133 140 141 1000 1100 1430 1440 1441 1730 1740 1731 2100 5500 5600 8000 9400 9500 9600 9700 9800 11600 13500 13800);
my %is_utf16le = map { $_ => 1 } qw (30 40 130 131 132 133 140 141 1000 1100 1430 1440 1441 1730 1740 1731 5500 5600 8000 9400 9500 9600 9700 9800 11600 13500 13800);
my %less_fifteen = map { $_ => 1 } qw (500 1600 1800 2400 2410 3200 6300 7400 10500 10700);
my %allow_long_salt = map { $_ => 1 } qw (2100 2500 4520 4521 5500 5600 7100 7200 7300 9400 9500 9600 9700 9800 10400 10500 10600 10700 1100 11000 11200 11300 11400 11600 12600 13500 13800 15000);
my %allow_long_salt = map { $_ => 1 } qw (400 2100 2500 4520 4521 5500 5600 7100 7200 7300 9400 9500 9600 9700 9800 10400 10500 10600 10700 1100 11000 11200 11300 11400 11600 12600 13500 13800 15000);
my @lotus_magic_table =
(
@@ -3807,7 +3807,7 @@ sub single
}
elsif ($mode == 111 || $mode == 122 || $mode == 125 || $mode == 131 || $mode == 132 || $mode == 400 || $mode == 500 || $mode == 1600 || $mode == 1722 || $mode == 1731 || $mode == 6300 || $mode == 7900 || $mode == 8100 || $mode == 11100)
{
for (my $i = 1; $i < 32; $i++)
for (my $i = 1; $i < 256; $i++)
{
if ($len != 0)
{