2026-03-10 –, Main Hall
Open OnDemand enables the execution of passenger applications, which can be utilized for self-paced learning and andragogy through GenAI-powered tools. The GenAI tutor paradigm can now be accessible on demand, within the same platform, to support a variety of user needs as soon as they arise. Open OnDemand passenger applications could enable guidance on basic coding, instructions for submitting jobs with different schedulers, "chatting" with available documentation, and accessing vital information via microservices such as resource availability, job-specific information, and efficiency reports.
Open OnDemand is a web-based platform designed for users to access high-performance computing (HPC) resources, such as supercomputers or clusters, remotely and interactively. Research computing includes frameworks, such as Open OnDemand, that lower the barrier of entry to high-performance computing for users. The abstraction and automation of research workflows enable flexible ways of conducting computational research via solutions that can cater to diverse computing backgrounds and needs, while hiding many of the complexities of resource and data management. However, as new users think of more complex research workflows, the lack of computational knowledge may become a barrier again. Today, generative AI (GenAI) technology offers sophisticated tutoring capabilities and real-time guidance. By combining the capabilities of Open OnDemand with GenAI-powered tools and microservices tailored to institutional computing clusters, information important for decisions, and self-learning experiences can be made more accessible just-in-time when they are needed to enable more research activities. Passenger apps in the Open OnDemand framework may transform the way researchers without strong computational backgrounds approach self-paced learning and enable andragogy for more efficient use of computational and storage resources.
- Examples of helpful utilities and microservices in Open OnDemand
Submit jobs via a user-friendly interface.
Review available resources for advanced job placement and resource requests.
Visualize job efficiency reports.
Submit a request that will be processed automatically.
Encrypt/Decrypt files and folders
Self-Paced Learning
The GenAI tutor paradigm not only provides information that can debug problems, suggest alternative approaches, and point out relevant online documentation, it also engages users in learning-by-doing through maintaining their self-motivation to problem solve. Besides "chatting" with documentation, GenAI can help generate scenarios, relevant questions, and explanations of correct answers to enable user-defined and self-paced learning.Generative AI and the GenAI Tutor Paradigm
A service with 24/7 availability and accessibility with the goal of helping when users are actively seeking to learn how to solve problems they face. The use of passenger applications could offer a multi-layered approach to HPC andragogy by providing guidance with potential contextual awareness of the specific systems they are deployed in.
Kyriakos is dedicated to supporting faculty, staff, and students in their computational research by developing and supporting computing resources for high-performance and high-throughput computing. With a background in data science and DevOps engineering, he focuses on optimizing IT operations through automation, collaboration, and continuous learning, all while simplifying complex processes.