Application Development Tools - University of Sheffield：应用程序开发工具-谢菲尔德大学.pptVIP

Problem Session Problem 10 Only up to test 5 Summary of module load parameters for parallel MPI environments TRANSPORTqsub parameter -------------------------COMPILER to use -pe openmpi-ib -pe ompigige -pe mvapich2-ib PGI mpi/pgi/openmpi mpi/pgi/mvapich2 Intel mpi/intel/openmpi mpi/intel/mvapich2 GNU mpi/gcc/openmpi mpi/gcc/mvapich2 Running GPU parallel jobs GPU parallel processing is supported on 8 ?Nvidia Tesla Fermi M2070s GPU units attached to iceberg. In order to use the GPU hardware you will need to join the GPU project by emailing iceberg-admins@sheffield.ac.uk You can then submit jobs that use the GPU facilities by using the following three parameters to the qsub command; -P gpu -l arch=intel* -l gpu=nn  where 1= nn = 8 is the number of gpu-modules to be used by the job. P stands for project that you belong to. See next slide. Special projects and resource management Bulk of the iceberg cluster is shared equally amongst the users. I.e. each user has the same privileges for running jobs as another user. However, there are extra nodes connected to the iceberg cluster that are owned by individual research groups. It is possible for new research project groups to purchase their own compute nodes/clusters and make it part of the iceberg cluster. We define such groups as special project groups in SGE parlance and give priority to their jobs on the machines that they have purchased. This scheme allows such research groups to use iceberg as ordinary users “with equal share to other users” or to use their privileges ( via the –P parameter) to run jobs on their own part of the cluster without having to compete with other users. This way, everybody benefits as the machines currently unused by a project group can be utilised to run normal users’ short jobs. Job queues on iceberg Queue name Time Limit (Hours) System specification short.q 8 long.q 168 Long running serial jobs parallel.q 168 Jobs requiring multiple nodes openmp