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El Gato was implemented at the start of 2014 and there is no planned date at this point to discontinue it.  El Gato is a large GPU/PHI cluster, purchased by an NSF MRI grant by researchers in Astronomy and SISTA.  30% of this system is available for general campus research, including the Nvidia GPU's and Intel Phi's.

Ocelote was implemented in the middle of 2016.  It is designed to support all workloads on the standard nodes except:

  1. Large memory workloads that do not run within the 192GB RAM of each node can also be handled with either the large memory node or virtual SMP nodes
  2. GPU's are available as a buy-in option or windfall.  Any other need for GPU's can be satisfied on El Gato.  

Test Environment

HPC has a test / trial environment as well as the primary clusters detailed below.  This environment is intended to be used for projects that are six months or less in duration and cannot be run on the production systems. Reasons for not being able to be run on the production systems include requiring root access, and hardware or software requirements that cannot be met by one of the production systems. If you have a project in mind that we might be able to support, contact 

CPUXeon Westmere-EP X5650
Dual 6-core
Disk10TB (5 x 2TB)
NetworkGbE and QDR IB

Compute System Details


El Gato



IBM System X iDataPlex dx360 M4

Lenovo NeXtScale nx360 M5

Year Purchased




Distributed Memory

Distributed and Large Memory* 


Xeon Ivy Bridge E5-2650
Dual 8-core

Xeon Haswell E5-2695
Dual 14-core

Processor Speed (GHz)




140 Nvidia K20x
 40 Intel Phi

15 Nvidia K80
(windfall only) 

Node Count



Cores / Node



Total Cores



Memory / Node (GB)

 64 or 256

 192  (2TB & vSMP* )

Total Memory (TB)


/tmp is part of root filesystem

Max Performance




 RedHat 6.4

 CentOS 6.7


FDR Inifinband

FDR Infiniband for node-node
10Gb Ethernet node-storage

Application Support

MPI, Serial, GPU, Phi

Parallel, MPI, OpenMP, Serial

* The new cluster includes a large memory node with 2TB of RAM available on 48 cores.  More details on the Large Memory Node

*Virtual SMP software implements large memory images.

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