Hi, If you have OpenMPI and mpi4py installed, then you have access to Gary Thompson's multi-processor framework for MPI parallelisation. However the code in relax must be written to support this. This is the case for the model-free analysis, in which case Gary has achieved near perfect scaling efficiency: https://mail.gna.org/public/relax-devel/2007-05/msg00000.html However for the relaxation dispersion branch, no parallelisation has been attempted, neither in the original code from Sebastian Morin or the recent modifications by myself. This is not a simple task and will take a lot of effort to implement. If this is to be implemented one day, I would suggest parallelising at the level of the spin clusters. Also note that it is often quite hard to achieve good scaling efficiency and often the first attempts will just make the code slower, even on a 1024 node cluster, due to the bottleneck of data transfer between the nodes. The parallelisation will also require 10 times as much code to be written to do the same thing as non-parallised code, and debugging is much more difficult. So while it is an option, I wouldn't hold your breath for this feature. Of course unless you have the courage to tackle such a problem yourself. Regards, Edward On 7 June 2013 12:24, Troels Emtekær Linnet <tlinnet@xxxxxxxxx> wrote:
Hi. I have access to a computer with 24 CPU's, and want to speed things up. Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian CPU(s): 24 On-line CPU(s) list: 0-23 Thread(s) per core: 2 Core(s) per socket: 6 Socket(s): 2 NUMA node(s): 2 Vendor ID: GenuineIntel CPU family: 6 Model: 44 Stepping: 2 CPU MHz: 2394.136 BogoMIPS: 4787.82 Virtualization: VT-x L1d cache: 32K L1i cache: 32K L2 cache: 256K L3 cache: 12288K NUMA node0 CPU(s): 0,2,4,6,8,10,12,14,16,18,20,22 NUMA node1 CPU(s): 1,3,5,7,9,11,13,15,17,19,21,23 I have been looking at: http://www.nmr-relax.com/manual/Usage_multi_processor.html This says, that you need mpi installed. Is it possible to run relax_disp in GUI mode with more than 1/2 processors? Best Troels Emtekær Linnet _______________________________________________ relax (http://www.nmr-relax.com) This is the relax-users mailing list relax-users@xxxxxxx To unsubscribe from this list, get a password reminder, or change your subscription options, visit the list information page at https://mail.gna.org/listinfo/relax-users