Compute Resources

Owned by chrisreidy@arizona.edu
Last updated: Dec 11, 2023 by sarawillis@arizona.edu

Overview

ElGato

During the quarterly maintenance cycle on April 27, 2022 the ElGato K20s were removed because they are no longer supported by Nvidia.

Implemented at the start of 2014, ElGato has been reprovisioned with CentOS 7 and new compilers and libraries. From July 2021 it has been using Slurm for job submission. ElGato is our smallest cluster with 130 standard nodes each with 16 CPUs. Purchased by an NSF MRI grant by researchers in Astronomy and SISTA.

Ocelote

Implemented in the middle of 2016, Ocelote is designed to support the majority of workloads on the standard nodes. Additionally, Ocelote has one large memory  node with 2TB of memory and 46 nodes with Nvidia P100 GPUs for GPU-accelerated workflows

Puma

Implemented in 2020, Puma is the biggest cat yet. Similar to Ocelote, it has standard CPU nodes (with 94 cores and 512 GB of memory per node), GPU nodes (with Nvidia V100) and two high-memory nodes (3 TB). Local scratch storage increased to ~1.4 TB. Puma runs on CentOS 7.

Contents


Free vs. Buy-In

The HPC resources at UArizona are differentiated from many other universities in that there is central funding for a significant portion of the available resources. Each PI receives a standard monthly allocation of hours at no charge. There is no charge to the allocation for windfall usage and that has proven to be very valuable for researchers with substantial compute requirements.  

Research groups can 'Buy-In' (adding additional compute nodes) to the base HPC systems as funding becomes available. Buy-In research groups will have highest priority on the resources they add to the system. If the expansion resources are not fully utilized by the Buy-In group they will be made available to all users as windfall.


Compute System Details

During the quarterly maintenance cycle on April 27, 2022 the ElGato K20s and Ocelote K80s were removed because they are no longer supported by Nvidia.

Name

El Gato

Ocelote


Puma

Model

IBM System X iDataPlex dx360 M4

Lenovo NeXtScale nx360 M5Penguin Altus XE2242

Year Purchased

2013

2016 (2018 P100 nodes)2020

Node Count

131

400

236 CPU-only
8 GPU
2 High-memory

Total System Memory (TB)

26TB

82.6TB128TB

Processors

2x Xeon E5-2650v2 8-core (Ivy Bridge)

2x Xeon E5-2695v3 14-core (Haswell)
2x Xeon E5-2695v4 14-core (Broadwell)
4x Xeon E7-4850v2 12-core (Ivy Bridge)

2x AMD EPYC 7642 48-core (Rome)

Cores / Node (schedulable)

16c

28c (48c - High-memory node)94c

Total Cores

2160*

11528*23616*

Processor Speed

2.66GHz

2.3GHz (2.4GHz - Broadwell CPUs)2.4GHz

Memory / Node

256GB - GPU nodes
64GB - CPU-only nodes

192GB (2TB - High-memory node)

512GB (3TB - High-memory nodes)

Accelerators


46 NVIDIA P100 (16GB)

29 NVIDIA V100S

/tmp~840 GB spinning
/tmp is part of root filesystem		~840 GB spinning
/tmp is part of root filesystem		~1440 TB NVMe
/tmp

HPL Rmax (TFlop/s)

46

382

OS

Centos 7

 CentOS 7CentOS 7

Interconnect

FDR Inifinband

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

1x 25Gb/s Ethernet RDMA (RoCEv2)
1x 25Gb/s Ethernet to storage


* Includes high-memory and GPU node CPU