CIDA Computing Resources

Introduction

This document introduces the available computing resources with guidelines and linkes to access/request them.

Who does this apply to: All members of CIDA (Professor, RA, RI, Senior RI, PRA, Senior PRA)

Computing Resources Available to CIDA Members

This table lists the computing resources available to CIDA members. Please note that each compute resource has differing policies about storage of PHI/HIPAA data. Please see the data storage guideline for more information.

Computing Resource	Description	HIPAA/PHI Data
Personal Computer/Laptop	Free for CIDA members	Limited
CIDA/Biostats HPC	Free for CIDA members	Limited
Alpine	Almost Free for CIDA members (if requested resources <= default allocation)	No
Commercial computing platforms such as AWS, IBM, …	Cost depends on the type of requested resouces	No

Personal Computer

CIDA provides all its members with a PC or Macintosh based on their preference.

CIDA/Biostats HPC Cluster

The CIDA/Biostats HPC Cluster is an HPC cluster running the SLURM cluster management software.

This cluster is useful for computations which require large amounts of computing resource or involve long-running tasks.

Instructions for accessing and using the CIDA/Biostats HPC are available here.

	csphbiostats	cidalappc01	cidalappc02	cidalappc03
CPU	2x Intel Xeon Gold 61522 22-core CPU	2x AMD EPYC 7H12 64-Core CPU	2x AMD EPYC 7H12 64-Core CPU	2x AMD EPYC 7H12 64-Core CPU
Disk storage	50TB (Shared across all nodes)	”	”	”
Memory Size	1TB	1TB	512GB	1TB
OS	Rocky Linux 9.5 (RHEL)	”	”	”
Software	R, Python, RStudio Server, Jupyter Lab	”	”	”

Alpine

Alpine is the University of Colorado Boulder Research Computing’s third-generation high performance computing (HPC) cluster. Alpine is a heterogeneous compute cluster currently composed of hardware provided from University of Colorado Boulder, Colorado State University, and Anschutz Medical Campus. Alpine currently offers 317 compute nodes and a total of 18,080 cores.

Alpine can be securely accessed anywhere, anytime using OpenOnDemand or ssh connectivity to the CURC system. Step-by-step instruction to access Alpine is available at: https://curc.readthedocs.io/en/latest/clusters/alpine/quick-start.html

	Alpine
Processor	General compute nodes	GPU
Nodes	64	11
Core	64 × AMD Milan Compute nodes (64 cores/node)	2 × 8 GPU-enabled (3x AMD MI100) atop AMD Milan CPU
Memory Size	239 GB	2 TiB
Cost	Free for defined setting	Free
HIPAA compliant	NO	NO
OS	RHEL 8.4	RHEL 8.4

Useful Links

Health Insurance Portability and Accountability Act (HIPAA):
http://www.hhs.gov/hipaa/for-professionals/index.html

Guidance Regarding Methods for De-identification of Protected Health Information in Accordance with the Health Insurance Portability and Accountability Act (HIPAA) Privacy Rule:
http://www.hhs.gov/hipaa/for-professionals/privacy/special-topics/de-identification/index.html