Host name: nano.ncsa.illinois.edu
2x Intel Xeon CPU E5-2620 v3 @ 2.40GHz
128 GB DDR4 (8x 16 GB Micron 2133 MHz 36ASF2G72PZ-2G1A2)
8 PCI-E 3.0 ports, switched
- Mellanox MT27500 Family [ConnectX-3] QDR IB
- 1x 256 GB Samsung SSD 850
- CentOS 7
- CUDA 8.0
- PGI 16.10
- Intel ICC 16
- nano is a head node of the cluster, it should not be used for any computations!
- nodes 1-5 do not have NVIDIA GPUs; can be used for CPU-only workloads
- node 6 has 1 NVIDIA P100 GPU
- node 7 has 4 NVIDIA P100 GPUs
- node 8 has 8 NVIDIA M40 GPUs. These are very good for deep learning if code is single-precision.
- to get access to a particular node for interactive use, please use qsub. E.g., to get one GPU on node 7 for 1 hour for interactive use: ‘qsub -I -l nodes=nano7:gpus=1,walltime=3600’
- better yet, do not allocate nodes for interactive use, instead just submit batch jobs, see for example Job Scripts section at https://kb.iu.edu/d/avmy for details. This is a much better way to share computing resources.
- to see what’s running on the cluster, just run qstat
- this is a shared resource, please keep in mind that other users are using it as well; do not take over the system beyond what you really need.
- home directory is cross-mounted, there is also a soft link to a space put aside for you on the lustre file system. Put all your work on lustre.