Three Ohio universities were awarded funds from the National Science Foundation to bolster the ranks of cyberinfrastructure professionals and accelerate the adoption of advanced cyberinfrastructure. This panel will discuss their comprehensive approach to developing long-term career development paths for interdisciplinary CI professionals. Through personalized training, mentoring, and hands-on experience in large research projects, the cohort of Interdisciplinary Research Machine Learning Engineers and Interdisciplinary Research Machine Learning Facilitators will gain the necessary skills to excel in their roles.
Panelists will share recent initiatives held at each campus which provided training and workforce development in AI/ML and can be considered for your institutions.
- Karen Tomko, Ohio Supercomputer Center: 'Generative AI models for Classroom Use'
At Ohio Supercomputer Center we are exploring the deployment of a generative AI models for classroom use. This past year, we hosted a Stable Diffusion model and made it available via Open OnDemand and Kubernetes managed resources for Digital Art and Technology students at Ohio University. - Sanmukh Kuppannagari, Case Western Reserve University -'Fundamentals of Accelerated Computing with CUDA C/C++'
Intro: This hands-on workshop teaches the fundamental tools and techniques for accelerating C/C++ applications to run on massively parallel GPUs with CUDA®. Participants learn how to write code, configure code parallelization with CUDA, optimize memory migration between the CPU and GPU accelerator, and implement the workflow that they learned on a new task—accelerating a fully functional, but CPU-only, particle simulator for observable massive performance gains. At the end of the workshop, the participants get access to additional resources to create new GPU-accelerated applications on your own. Outcomes: The first workshop in the series was conducted on November 4th and 5th, 2023 with 6-hour sessions on each day. In addition to discussing the fundamentals of CUDA programming, the workshop also discussed the basics of utilizing the GPU resources on CWRU HPC and AISC. Close to 70 students participated actively in the workshop. A majority of them passed the assessment from Nvidia and obtained certifications in CUDA. The participants came from a diverse background such as business, medicine, biomedical, etc. in addition to computer science. The workshop was well received by the students and they were enthusiastic about joining future, more advanced iterations. - Jane Combs, University of Cincinnati - 'P&G/UC ARC GenAI Rapid Research Challenge'
UC's Advanced Research Computing Center team partnered with P&G's R&D Data Science and AI/ML team to host a novel event, the GenAI Rapid Research Challenge, designed to investigate how GenAI can impact research projects. Small, multi-disciplinary teams worked together, under the mentorship/advisement of P&G and UC domain and computer scientists, to propose testable concepts which solve P&G problem statements using GenAI techniques over a 1.5 day 'hackathon'. 21 participants from 9 colleges at UC participated in the event. Participants included research faculty, postdocs, grad students and undergraduate students. Teams were led by UC researchers as advisors/mentors, UC ARC research facilitators, P&G scientists and grad students from UC's Masters of Design program. HPE and NVIDIA sponsored the event and provided expertise and AI platforms.
Open Zoom
