New GPU node available on Sherlock

There’s a new GPU node in the gpu partition!

It’s notable for a list of reasons. This is the first node on Sherlock to feature both:

  1. the latest generation of Intel CPUs (Skylake),
  2. the latest generation of computing-optimized NVIDIA GPUs,

and it’s also the first node on Sherlock with 32GB GPUs, which is particularly interesting for a lot of Deep-Learning oriented workloads.

Specs

This compute node features:

Details

Nodes in the gpu partition are now available to everyone on Sherlock, and the new node can be requested by adding the following flag to your job submission options: -C "GPU_SKU:V100_SXM2&GPU_MEM:32GB"

To request an interactive session on a Tesla V100 GPU with 32GB of memory, you can run:

$ srun -p gpu --gres gpu:1 -C "GPU_SKU:V100_SXM2&GPU_MEM:32GB" --pty bash

To see the list of all the available GPU features and characteristics that can be requested in the gpu partition:

$ sh_node_feat -p gpu | grep GPU
GPU_BRD:GEFORCE
GPU_BRD:TESLA
GPU_CC:3.5
GPU_CC:3.7
GPU_CC:5.2
GPU_CC:6.0
GPU_CC:6.1
GPU_CC:7.0
GPU_GEN:KPL
GPU_GEN:MXW
GPU_GEN:PSC
GPU_GEN:VLT
GPU_MEM:12GB
GPU_MEM:16GB
GPU_MEM:24GB
GPU_MEM:32GB
GPU_MEM:6GB
GPU_SKU:K20X
GPU_SKU:K80
GPU_SKU:P100_PCIE
GPU_SKU:P100_SXM2
GPU_SKU:P40
GPU_SKU:TITAN_BLACK
GPU_SKU:TITAN_X
GPU_SKU:TITAN_Xp
GPU_SKU:V100_SXM2

For more details about GPUs on Sherlock, see the GPU user guide.

If you have any question, feel free to send us a note at [email protected].