Difference between revisions of "GWU cluster (Corcoran Hall)"
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| − | Some information about | + | Some information about the old cluster can be found at [http://eagle.phys.gwu.edu/~fxlee/cluster/ here]. |
The cluster has been updated: it is now a cluster with 16 nodes each with 2 GPUs for a total of 32 GPUs (gtx480s). These cards have 1.5 GB of memory and deliver for dslash about 50GFlops/s in double precision and 125 GFlops/s in single precision (see Ben's [[Performance]] benchmarks). | The cluster has been updated: it is now a cluster with 16 nodes each with 2 GPUs for a total of 32 GPUs (gtx480s). These cards have 1.5 GB of memory and deliver for dslash about 50GFlops/s in double precision and 125 GFlops/s in single precision (see Ben's [[Performance]] benchmarks). | ||
The interconnects are still 4x DDR infiniband which provides 5Gb/s x 4lanes = 20Gb/s (signaling) which due to 8/10 encoding translates to a 16Gb/s=2GB/s in each direction (for more Infinband details consult [http://en.wikipedia.org/wiki/Infiniband wikipedia page]). | The interconnects are still 4x DDR infiniband which provides 5Gb/s x 4lanes = 20Gb/s (signaling) which due to 8/10 encoding translates to a 16Gb/s=2GB/s in each direction (for more Infinband details consult [http://en.wikipedia.org/wiki/Infiniband wikipedia page]). | ||
| + | |||
| + | The scheduling system on the cluster is Sun Grid Engine (sge). For infiniband we have installed OFED and openmpi (v1.5) and mvapich2 (v1.5.1). We prefer to use openmpi since it provides tight integration with the scheduler (the mpi processes get killed when you delete a job from the scheduler). A simple script is given below: | ||
| + | |||
| + | #$ -S /bin/csh | ||
| + | #$ -cwd | ||
| + | #$ -j y | ||
| + | #$ -o job_output.log$JOB_ID | ||
| + | ##$ -q all.q@@node | ||
| + | #$ -q all.q@@gpu | ||
| + | #$ -l gpu_count=1 | ||
| + | #$ -pe openmpi 8 | ||
| + | #$ -l h_rt = 01:30:00 | ||
| + | |||
| + | mpirun -n $NSLOTS --mca btl_openib_flags 1 test_dslash_multi_gpu < check.in >& output_np${NSLOTS}.log | ||
| + | |||
| + | Note that if your job consumes gpus you should use '''-l gpu_count=1''' (one gpu per process) and you should also include '''--mca btl_openib_flags 1''' flag to make sure that openmpi and cuda work together. If you only use the cpu codes, the flag is not necessary. Note that the new nodes are in the all.q queue and you should use all.q@@gpu if you want to use them or all.q@@node if you want to use the old nodes. | ||
Revision as of 15:16, 17 October 2010
Some information about the old cluster can be found at here.
The cluster has been updated: it is now a cluster with 16 nodes each with 2 GPUs for a total of 32 GPUs (gtx480s). These cards have 1.5 GB of memory and deliver for dslash about 50GFlops/s in double precision and 125 GFlops/s in single precision (see Ben's Performance benchmarks).
The interconnects are still 4x DDR infiniband which provides 5Gb/s x 4lanes = 20Gb/s (signaling) which due to 8/10 encoding translates to a 16Gb/s=2GB/s in each direction (for more Infinband details consult wikipedia page).
The scheduling system on the cluster is Sun Grid Engine (sge). For infiniband we have installed OFED and openmpi (v1.5) and mvapich2 (v1.5.1). We prefer to use openmpi since it provides tight integration with the scheduler (the mpi processes get killed when you delete a job from the scheduler). A simple script is given below:
#$ -S /bin/csh
#$ -cwd
#$ -j y
#$ -o job_output.log$JOB_ID
##$ -q all.q@@node
#$ -q all.q@@gpu
#$ -l gpu_count=1
#$ -pe openmpi 8
#$ -l h_rt = 01:30:00
mpirun -n $NSLOTS --mca btl_openib_flags 1 test_dslash_multi_gpu < check.in >& output_np${NSLOTS}.log
Note that if your job consumes gpus you should use -l gpu_count=1 (one gpu per process) and you should also include --mca btl_openib_flags 1 flag to make sure that openmpi and cuda work together. If you only use the cpu codes, the flag is not necessary. Note that the new nodes are in the all.q queue and you should use all.q@@gpu if you want to use them or all.q@@node if you want to use the old nodes.
