Hi Olli-Pekka
Olli-Pekka Lehto wrote:
Joe Landman wrote:
Hi folks
GPU-HMMer (part of the MPI-HMMer effort) has just been
announced/released at http://www.mpihmmer.org
MPI-HMMer has itself been improved with parallel-IO and better
scalability features. JP has measured some large number (about 180x)
over single cores on a cluster for the MPI run.
Enjoy!
Joe
Hi Joe,
Looks quite promising. Here are results from a simple real-world test case:
GPU: Dual GTX280, each with 1GB RAM
CPU: Single Intel Core2 quad Q9550 2.83GHz
hmmsearch 4 threads sorted: 274.49s
hmmsearch 4 threads unsorted: 254.23s
cuda_hmmsearch unsorted 407.85s
cuda_hmmsearch sorted: 62.69s
cuda_hmmsearch sorted 2 simultaneous runs: 78.23s 80.79s
Remarks:
-Running hmmsort to sort the sequence database is critical to obtain
reasonable performance from cuda_hmmsearch. However, the regular
hmmsearch is slightly slower with the sorted database.
-Running two simultaneous runs assigned to different GPUs on a dual-GPU
quad-core system yields some performance penalty, but is still quite
feasible.
-I used the parameters THREADSIZE=320 BLOCKSIZE=64. I'm not completely
sure if these are the optimum values for GTX280. Any better suggestions?
I'd suggest subscribing/posting to the mpihmmer list
(http://lists.scalableinformatics.com/mailman/listinfo/mpihmmer) so we
don't clutter beowulf with this.
JP could likely tell you more about the appropriate sizing for GTX280.
We have a pair of GTX260's in the lab that some runs were done on.
Could you describe your run a bit more (sequence queries, hmm size,
database and size)? On the mpihmmer list though ...
Thanks!
Joe
Regards,
Olli-Pekka
--
Joseph Landman, Ph.D
Founder and CEO
Scalable Informatics LLC,
email: [email protected]
web : http://www.scalableinformatics.com
http://jackrabbit.scalableinformatics.com
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