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BEGIN:VEVENT
UID:https://events.ucf.edu/event/4146027/research-computing-full-day-advanced-bootcamp/
DTSTAMP:20260623T081500
DTSTART:20260623T081500
DTEND:20260623T163000
LOCATION:Partnership 3 Building: 233

SUMMARY:Research Computing (full-day) Advanced Bootcamp
URL:https://events.ucf.edu/event/4146027/research-computing-full-day-advanced-bootcamp/
DESCRIPTION:The Office of Research Cyberinfrastructure is hosting a one-day Research Computing Advanced Bootcamp for users interested in specialized topics in research computing such as strategies for leveraging multi-GPU architectures in parallel workflows, GPU profiling, limitations of pandas for large DataFrames, other high-performance tools for DataFrames,  querying large language models via Python APIs, reproducibility practices, and automated plotting techniques. The workshop will include three sessions featuring hands-on exercises, followed by an open discussion and Q&A. \n\nSession 1: Distributed GPU Architecture for LLMs  \nThis session introduces GPU computing fundamentals and memory considerations in machine learning workflows.  \nIt also examines multi-GPU strategies--including model parallelism, Distributed Data Parallel (DDP), and Fully Sharded Data Parallel (FSDP)--through practical examples and hands-on exercises.\n\nSession 2: Handling Large DataFrames in Python  \nThis session explores the performance and memory limitations of pandas when working with large-scale datasets.  \nIt presents modern alternatives such as Polars and covers efficient data handling techniques, including optimized storage formats, chunked processing, and extensions to distributed and GPU-enabled frameworks.\n\nSession 3: Python and DataFrames for Sensible Experiment Management  \nThis session focuses on developing structured and reproducible workflows for computational research.  \nParticipants will build a benchmarking framework for LLM inference while learning best practices in data aggregation, API integration, and automated visualization.\n\nFor further information on sessions and tentative agenda please visit:   \n<https://rci.research.ucf.edu/events/research-computing-full-day-advanced-bootcamp-june-2026/>\n\nPlease note: All the sessions have a hands-on component. To participate in the hands-on exercises during the session, you will need to bring your own laptop equipped with a web browser as well as install any software specific to that lesson. Refer to each lesson's description for specific instruction. \nRegistration Link: https://ucf.qualtrics.com/jfe/form/SV_0vnNiJGBJ9wISr4
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