Cedar: Difference between revisions
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| "Base" compute nodes: || | | "Base" compute nodes: || 576 nodes || 128 GB of memory, 16 cores/socket, 2 sockets/node. Intel "Broadwell" CPUs at 2.1Ghz, model E5-2683 v4. | ||
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| "Large" compute nodes: || | | "Large" compute nodes: || 128 nodes || 256 GB of memory, 16 cores/socket, 2 sockets/node. Intel "Broadwell" CPUs at 2.1Ghz, model E5-2683 v4. | ||
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| "Bigmem500" || 24 nodes || 0.5 TB (512 GB) of memory, 16 cores/socket, 2 sockets/node | | "Bigmem500" || 24 nodes || 0.5 TB (512 GB) of memory, 16 cores/socket, 2 sockets/node. Intel "Broadwell" CPUs at 2.1Ghz, model E5-2683 v4. | ||
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|"Bigmem1500" nodes || 24 nodes || 1.5 TB of memory, 16 cores/socket, 2 sockets/node | |"Bigmem1500" nodes || 24 nodes || 1.5 TB of memory, 16 cores/socket, 2 sockets/node. Intel "Broadwell" CPUs at 2.1Ghz, model E5-2683 v4. | ||
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| "GPU base" nodes: || | | "GPU base" nodes: || 114 nodes || 128 GB of memory, 12 cores/socket, 2 sockets/node, 4 NVIDIA P100 Pascal GPUs/node (12GB HBM2 memory), 2 GPUs/PCI root. Intel "Broadwell" CPUs at 2.2Ghz, model E5-2650 v4 | ||
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| "GPU large" nodes. || Approximately 30 nodes || 256 GB of memory, 12 cores/socket, 2 sockets/node, 4 GPUs/node, All GPUs on the same | | "GPU large" nodes. || Approximately 30 nodes || 256 GB of memory, 12 cores/socket, 2 sockets/node, 4 NVIDIA P100 Pascal GPUs/node (12GB HBM2 memory), All GPUs on the same PCI root. E5-2650 v4 | ||
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| "Bigmem3000" nodes || 4 nodes || 3 TB of memory, 8 cores/socket, 4 sockets/node | | "Bigmem3000" nodes || 4 nodes || 3 TB of memory, 8 cores/socket, 4 sockets/node. Intel "Broadwell" CPUs at 2.1Ghz, model E7-4809 v4. | ||
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Revision as of 20:25, 9 December 2016
Cedar (GP2)
CEDAR is a heterogeneous cluster, suitable for a variety of workloads, located at Simon Fraser University. It is named for the Western Red Cedar, B.C.’s official tree and of great spiritual significance to the region's First Nations people. It was previously known as "GP2" 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 SFU's RFP and bids received, include the following. This information is not guaranteed and might not be complete. It is provided for planning purposes.
Attached Storage System
$HOME |
Standard home directory |
$SCRATCH Parallel High-performance filesystem |
DDN storage subsystem with approximately 4PB usable capacity for temporary ( |
$PROJECT External persistent storage |
Provided by the NDC. |
High performance interconnect |
Intel OmniPath (version 1) interconnect. A low-latency high-performance fabric connecting all nodes and temporary storage. |
Node types and characteristics:
"Base" compute nodes: | 576 nodes | 128 GB of memory, 16 cores/socket, 2 sockets/node. Intel "Broadwell" CPUs at 2.1Ghz, model E5-2683 v4. |
"Large" compute nodes: | 128 nodes | 256 GB of memory, 16 cores/socket, 2 sockets/node. Intel "Broadwell" CPUs at 2.1Ghz, model E5-2683 v4. |
"Bigmem500" | 24 nodes | 0.5 TB (512 GB) of memory, 16 cores/socket, 2 sockets/node. Intel "Broadwell" CPUs at 2.1Ghz, model E5-2683 v4. |
"Bigmem1500" nodes | 24 nodes | 1.5 TB of memory, 16 cores/socket, 2 sockets/node. Intel "Broadwell" CPUs at 2.1Ghz, model E5-2683 v4. |
"GPU base" nodes: | 114 nodes | 128 GB of memory, 12 cores/socket, 2 sockets/node, 4 NVIDIA P100 Pascal GPUs/node (12GB HBM2 memory), 2 GPUs/PCI root. Intel "Broadwell" CPUs at 2.2Ghz, model E5-2650 v4 |
"GPU large" nodes. | Approximately 30 nodes | 256 GB of memory, 12 cores/socket, 2 sockets/node, 4 NVIDIA P100 Pascal GPUs/node (12GB HBM2 memory), All GPUs on the same PCI root. E5-2650 v4 |
"Bigmem3000" nodes | 4 nodes | 3 TB of memory, 8 cores/socket, 4 sockets/node. Intel "Broadwell" CPUs at 2.1Ghz, model E7-4809 v4. |
All of the above nodes will have local (on-node) storage.
Compute Canada is not currently able to disclose the specific GPU model or specifications. The RFP used NVIDIA K80 as a baseline specification.
The completed system is expected to have over 25,000 cores, 900 nodes, and 500 GPUs.
The delivery and installation schedule is not yet known, but the procurement team has confidence that the system will be in production for the start of the allocations year on April 1, 2017.