Research Computing Using the NSF FABRIC Compute and Test-Bed Cyberinfrastructure
ABOUT EVENT
Description
Join us for a comprehensive, hands-on workshop dedicated to leveraging the National Science Foundation (NSF) FABRIC computing infrastructure. This training is designed to quickly enhance your proficiency in advanced research computing and networking. The training emphasizes what FABRIC is, examples of research currently being done and how you can utilize FABRIC to support your research with compute, storage, networking and other unique infrastructure, such as GPUs, FPGAs (Field-Programmable Gate Arrays) and Smart-Network-Interface-Cards that can enable experiments not possible with other computing resources. The morning session focuses on fundamentals and foundational skills, providing basic training essential to access and use FABRIC. Participants will engage in hands-on tutorials using core FABRIC technical guides, which include instruction on the FABRIC Portal, Jupyter Hub, or essential FABRIC APIs, lowering a new users’ path to using FABRIC.
The afternoon dives into advanced methods and trending topics, with a significant focus on integrating scalable computing resources for specialized areas of science. A core module covers utilizing FABRIC GPUs for Machine Learning (ML) and Artificial Intelligence (AI), addressing trending topics such as Artificial Intelligence and Deep Learning. We will also explore advanced modules in networking and data transfer and helping researchers from domain-specific science leverage FABRIC’s capabilities.
The full-day program is part of a larger initiative to empower current and future Cyberinfrastructure users in the Hawaii/Guam-Pacific region to advance their research. Participants will gain skills positioned to make them effective in their research and leverage advanced computing throughout their careers in academia, agencies, and industry.
Registration Link
Total Attendees: 0
In-person Location: 105AB, Information Technology Center, University of Hawaiʻi at Mānoa
In-person Attendees: 0 of 40
Virtual Location: Zoom
Virtual Attendees: 0