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CIDA Computing Resources

Research Tools Committee

2023-02-7

CIDA_computing_resources.Rmd

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 none of these computing resources are HIPPA compliant and therefore no PHI can be stored on these machines. (please see the data storage guideline for more information). SLCE machines are not HIPAA compliant

Computing Resource Description
Personal Computer/Laptop Free for CIDA members
SLCE Free for CIDA members
Alpine Almost Free for CIDA members (if requested resources <= default allocation)
Commercial computing platforms such as AWS, IBM, … Cost depends on the type of requested resouces

Personal Computer

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

CIDA SLCE

SLCE is the local computing resource funded by CIDA (BERDxxxx) and consists of 5 workstations to address the computing resources required for vriety of tasks.

SLCE # 1 SLCE # 2 SLCE # 3 SLCE # 4 SLCE # 5
CPU Intel Xeon Gold 6152 2.1G X (2) CPU, 44 cores Intel(R) Xeon(R) CPU E5-2680 v3 @ 2.50GHz (2 cores) TBD TBD TBD
Disk storage 50TB 4TB 4TB 2TB 2TB
Memory Size 1TB 128 GB 128 GB 128 GB 128 GB
OS CentOS 7.x Linux Windows Windows Windows
Software R, R Studio, MatLab, Python, and Java Fiji,Python, R, RStudio R, RStudio, SAS, PASS, Git, Anaconda, Stata R, RStudio, SAS, PASS, Git, Anaconda, Stata R, RStudio, SAS, PASS, Git, Anaconda, Stata

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

Alphine
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

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