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DISCOVERY  March 2017

DISCOVERY March 2017

Subject:

Announcing a new GPU partition par-gpu-3 on Discovery Cluster.

From:

Nilay Roy <[log in to unmask]>

Reply-To:

Discovery Cluster <[log in to unmask]>

Date:

Wed, 8 Mar 2017 15:59:48 -0500

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (64 lines)

Dear Discovery Cluster Users:

A new GPU partition par-gpu-3 is now available to users for interactive and batch jobs.

This partition has nodes compute-2-176 to compute-2-183 that have 8 NVIDIA TESLA K80m GPU each. These nodes have 56 logical cores each, and on each node the 8 GPU’s have a total of 8X((13) Multiprocessors, (192) CUDA Cores/MP:2496 CUDA Cores)) 19968 CUDA computing cores. Each node has 512GB of RAM.

To get access to this partition please email [log in to unmask] with the details of the GPU enabled code you will use there, and you will be added to the partition.

If you do not have code that exploits multiple GPU's on a compute node continue using partitions par-gpu, or par-gpu-2.

A snapshot of the GPU configuration on each of the 8 nodes in the partition is given below:

[nilay.roy@compute-2-176 ~]# nvidia-smi
Wed Mar  8 15:23:23 2017       
+------------------------------------------------------+                       
| NVIDIA-SMI 352.99     Driver Version: 352.99         |                       
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla K80           Off  | 0000:05:00.0     Off |                    0 |
| N/A   36C    P0    60W / 149W |     55MiB / 11519MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
|   1  Tesla K80           Off  | 0000:06:00.0     Off |                    0 |
| N/A   43C    P0    71W / 149W |     55MiB / 11519MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
|   2  Tesla K80           Off  | 0000:09:00.0     Off |                    0 |
| N/A   39C    P0    61W / 149W |     55MiB / 11519MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
|   3  Tesla K80           Off  | 0000:0A:00.0     Off |                    0 |
| N/A   45C    P0    76W / 149W |     55MiB / 11519MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
|   4  Tesla K80           Off  | 0000:84:00.0     Off |                    0 |
| N/A   39C    P0    63W / 149W |     55MiB / 11519MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
|   5  Tesla K80           Off  | 0000:85:00.0     Off |                    0 |
| N/A   43C    P0    73W / 149W |     55MiB / 11519MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
|   6  Tesla K80           Off  | 0000:88:00.0     Off |                    0 |
| N/A   38C    P0    60W / 149W |     55MiB / 11519MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+
|   7  Tesla K80           Off  | 0000:89:00.0     Off |                    0 |
| N/A   42C    P0    74W / 149W |     55MiB / 11519MiB |     99%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID  Type  Process name                               Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+
[nilay.roy@compute-2-176 ~]#


Happy co-processing.

Best
Nilay

########################################################################

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