[<prev] [next>] [thread-next>] [day] [month] [year] [list]
Message-ID: <20120626005645.GA11346@openwall.com>
Date: Tue, 26 Jun 2012 04:56:45 +0400
From: Solar Designer <solar@...nwall.com>
To: john-dev@...ts.openwall.com
Subject: phpass OpenCL and CUDA
Lukas -
The reverted opencl/phpass_kernel.cl currently in magnum-jumbo looks a
bit dirtier than the newer version did. Perhaps you can re-apply some
minor changes to it, without going all the way for a vectorized
implementation yet (so that you don't reintroduce whatever problem that
had)? Specifically:
1. There's a function called "cuda_md5" - rename it.
2. Make use of rotate() and bitselect().
The speeds are now down to:
OpenCL platform 1: AMD Accelerated Parallel Processing, 2 device(s).
Using device 0: Tahiti
Max local work size 256
Optimal local work size = 32
Benchmarking: phpass MD5 ($P$9 length 8) [OpenCL]... DONE
Raw: 606441 c/s real, 2926K c/s virtual
OpenCL platform 0: NVIDIA CUDA, 1 device(s).
Using device 0: GeForce GTX 570
Compilation log:
ptxas info : Compiling entry function 'phpass' for 'sm_20'
ptxas info : Function properties for phpass
32 bytes stack frame, 0 bytes spill stores, 0 bytes spill loads
ptxas info : Used 35 registers, 44 bytes cmem[0]
Max local work size 896
Optimal local work size = 32
Benchmarking: phpass MD5 ($P$9 length 8) [OpenCL]... DONE
Raw: 302400 c/s real, 300833 c/s virtual
Previously, the speed on 7970 was about 1050K c/s.
The CUDA code on the GTX 570 achieves:
Benchmarking: phpass MD5 ($P$9 lengths 1 to 15) [CUDA]... DONE
Raw: 510171 c/s real, 507581 c/s virtual
(in a default build). IIRC, previously, this was 600k to 730k c/s
depending on settings. Did you have to revert anything in the CUDA
code, too?
Are we releasing with these lower speeds?
Thanks,
Alexander
Powered by blists - more mailing lists
Confused about mailing lists and their use?
Read about mailing lists on Wikipedia
and check out these
guidelines on proper formatting of your messages.
