Overview

ElGato

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.

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.

• Details on allocations

• Details on buy-in

Compute System Details