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ACCESS Resource Advisor

  • Sandesh Lamichhane
  • , Aiden Hamade
  • , Hunter Brogna
  • , Bodhi Rubinstein
  • , Luis Nunes
  • , Vikram Gazula
  • , James Griffioen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

ACCESS provides many essential High Performance Computing (HPC) resources to researchers across diverse scientific disciplines. However, selecting the most appropriate resource from the numerous available options presents significant challenges, especially for researchers without extensive technical expertise. This paper introduces the ACCESS Resource Advisor (ARA), a web-based tool designed to guide researchers toward suitable HPC resources by using accessible language, only asking about basic HPC concepts that users would understand, identifying workflow patterns, and providing recommendations with minimal required input. We detail the design philosophy, implementation approach, and rules-based recommendation used by the ARA. Usage data collected over ten months demonstrates consistent adoption, averaging 99.2 recommendations per month, with recent increases coinciding with the tool’s integration into the ACCESS Resource page. By simplifying the resource selection process, ARA helps researchers from over a hundred scientific fields make more informed decisions about computational resources, ultimately improving research efficiency and resource utilization across the ACCESS ecosystem.

Original languageEnglish
Title of host publicationPEARC 2025 - Practice and Experience in Advanced Research Computing 2025
Subtitle of host publicationThe Power of Collaboration
Number of pages4
ISBN (Electronic)9798400713989
DOIs
StatePublished - Jul 18 2025
Event2025 Practice and Experience in Advanced Research Computing, PEARC 2025 - Columbus, United States
Duration: Jul 20 2025Jul 24 2025

Publication series

NamePEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration

Conference

Conference2025 Practice and Experience in Advanced Research Computing, PEARC 2025
Country/TerritoryUnited States
CityColumbus
Period7/20/257/24/25

Bibliographical note

Publisher Copyright:
© 2025 Copyright held by the owner/author(s)

Funding

This work was supported in part by the National Science Foundation under Grant OAC-2138286. Special thanks to Ankita Patel for her initial help in obtaining and curating some ACCESS resource information.

FundersFunder number
National Science Foundation Arctic Social Science ProgramOAC-2138286

    Keywords

    • ACCESS
    • HPC
    • High Performance Computing
    • Recommendation System
    • User Support

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Computer Networks and Communications
    • Computer Science Applications
    • Software
    • Theoretical Computer Science

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