03-19, 14:30–14:55 (US/Eastern), Belfer Case Study Room (CGIS S020)
The Universidad de Sonora (UNISON) has successfully integrated Open OnDemand to address the growing demand for high-performance computing (HPC) resources among researchers and students, particularly those in data science with limited technical expertise in HPC. This presentation will showcase how Open OnDemand has empowered non-specialized users by providing an intuitive interface to access advanced computational resources, enabling breakthroughs in data-driven research. By detailing our implementation strategy, user-focused approach, and the resulting benefits, we aim to highlight the transformative potential of Open OnDemand for institutions facing similar challenges.
High-performance computing (HPC) systems are essential for modern data-driven research, yet their complexity often deters users without specialized computational backgrounds. At the Universidad de Sonora, Open OnDemand has been instrumental in democratizing access to HPC infrastructure, especially for data science researchers and students who lack deep technical expertise in supercomputing. By leveraging Open OnDemand’s web-based interface, we have made HPC resources more accessible, fostering interdisciplinary innovation and collaboration.
This presentation will delve into the following key aspects:
1. Case Study: Universidad de Sonora’s Open OnDemand Implementation.
2. Supporting Data Science Users.
3. User-Centric Benefits.
4. Lessons Learned and Recommendations.
5. Future Directions.
By focusing on the needs of data science users with limited HPC expertise, this presentation demonstrates how Open OnDemand can act as a bridge, making powerful computational resources accessible to a broader audience. Attendees will gain actionable insights into deploying and customizing Open OnDemand to support diverse user profiles, ensuring their HPC infrastructure can drive impactful research across disciplines.
I am leading the High Performance Computing Area of the University of Sonora (ACARUS) and I am also a lecturer at Universidad de Sonora. I had produced various manuscripts detailing advances and results from research projects in which I had been involved in topics as HPC, geographic information systems applied in climatology, oceanography, ecology, among others. I had organized, attended, and participated as a speaker in national and international academic conferences and events related to high-performance computing and the biological and natural sciences. I am a member of the Mexican Network of Supercomputing/CONAHCYT and I am is a candidate for National Researcher in SNI-CONAHCYT.