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 language | English |
|---|---|
| Title of host publication | PEARC 2025 - Practice and Experience in Advanced Research Computing 2025 |
| Subtitle of host publication | The Power of Collaboration |
| Number of pages | 4 |
| ISBN (Electronic) | 9798400713989 |
| DOIs | |
| State | Published - Jul 18 2025 |
| Event | 2025 Practice and Experience in Advanced Research Computing, PEARC 2025 - Columbus, United States Duration: Jul 20 2025 → Jul 24 2025 |
Publication series
| Name | PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration |
|---|
Conference
| Conference | 2025 Practice and Experience in Advanced Research Computing, PEARC 2025 |
|---|---|
| Country/Territory | United States |
| City | Columbus |
| Period | 7/20/25 → 7/24/25 |
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.
| Funders | Funder number |
|---|---|
| National Science Foundation Arctic Social Science Program | OAC-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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