Graham

Graham (GP3)

GRAHAM is a heterogeneous cluster, suitable for a variety of workloads, and located at the University of Waterloo. It is named after Wes Graham, the first director of the Computing Centre at Waterloo. It was previously known as "GP3" and is still identified as such in the 2017 RAC documentation.

System evaluation is not yet completed as of November 2016. Anticipated specifications, based on Waterloo's RFP and bids received, include the following. This information is NOT GUARANTEED and might not be complete. It is provided for planning purposes.

The parallel filesystem, interconnects and external persistent storage (NDC-Waterloo) will be the same as Cedar's. There is a slightly different mix of compute nodes.

Node types and characteristics

"Base" compute nodes	800 nodes	16 cores/socket, 2 sockets/node, 128 GB of memory.
"Bigmem512" nodes	24 nodes	16 cores/socket, 2 sockets/node, 512 GB of memory.
"Bigmem3000" nodes	3 nodes	16 cores/sockets, 4 sockets/node, 3 TB of memory.
"GPU Base" nodes	160 nodes	16 cores/socket, 2 sockets/node, 128 GB of memory, 2 NVIDIA Tesla GPUs.
"Cloud" nodes	60 nodes	16 cores/socket, 2 sockets/node, 256 GB of memory.
"TDS Base" nodes	4	16 cores/socket, 2 sockets/node, 128 GB of memory.
"TDS Cloud" nodes	5	16 cores/socket, 2 sockets/node, 128 GB of memory.

All of the above nodes will have local (on-node) storage.

Compute Canada is not currently able to disclose the specific CPU model or specifications.

Graham will have GPU's, but Compute Canada is not currently able to disclose specific details. The RFP used NVIDIA K80 as a baseline specification.

The completed system is expected to have over 25,000 cores.

The delivery and installation schedule is not yet known.