Prentice Bisbal wrote:
Vincent Diepeveen wrote:
Running 128 parallel sessions of md5sum is not so interesting at all, we
all believe this can be done fast.
Vincent,
That is the whole point of my original posting. The point was NEVER to
demonstrate the use of GPUs for streaming MD5-encrypted data. This was
the point of my posting:
1. To prove that CUDA programming is NOT as difficult as you made it out
to be.
Hi Prentis:
There is a general impression that CUDA is hard. I am not sure
precisely where this is coming from, but this is what I am hearing from
multiple quarters. Usually from people whom have not tried it.
2. To demonstrate the performance improvement you can get by
parallelizing an operation using CUDA. The MD5 algorithm was perfect for
this. No claims were ever made as to the need for parallelizing MD5.
There is value, however, if your goal is to recover (discover?) an
MD5-hashed password through a brute-force attack. Last time I checked,
MD5 password s are the default for most Linux distros.
3. To show that more than just "hobbyists" are investigating GPUs.
I think I can comment on some papers submitted to various
conferences. I am privy to some work not yet published, so I can't
recount that. In short, we have seen papers on segmentation of medical
image data sets (Liver segmentation to be precise) on CUDA platforms,
getting ~70x performance over a single machine. I am aware of some
unnamed bioinformatics applications seeing ... nice ... speedups on
CUDA. None of these are hobbyist things. The CUDA eco-system is
growing rapidly, with real users.
We have 3 CUDA machines in house, one of them my laptop :). I just
need to get on a few planes so I can spend that time coding ...
--
Joseph Landman, Ph.D
Founder and CEO
Scalable Informatics LLC,
email: [EMAIL PROTECTED]
web : http://www.scalableinformatics.com
http://jackrabbit.scalableinformatics.com
phone: +1 734 786 8423
fax : +1 866 888 3112
cell : +1 734 612 4615
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