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UID:9b190858-f901-4144-bfcb-fd1463324215@support.access-ci.org
DTSTAMP:20250922T152817Z
DTSTART:20251007T183000Z
DTEND:20251007T210000Z
SUMMARY:ACES: Introduction to HPC and AI for Faculty and Researchers
DESCRIPTION:This short course (2.5 hours) will cover the basic concepts and
  fundamentals of High Performance Computing (HPC), Artificial Intelligence
  (AI) and why HPC is important for AI. Participants will learn to use scik
 it-learn and PyTorch libraries to build, train, and evaluate machine learn
 ing and deep learning models in JupyterLab on a HPC cluster - ACES. We wil
 l also cover distributed training strategies with a focus on PyTorch Distr
 ibuted Data Parallel (DDP). Through hands-on exercises, we will progress s
 tep by step: starting from CPU-based training, moving to a single GPU, sca
 ling up to multiple GPUs on a single node, and finally extending to multi-
 node distributed training.Learn more at https://hprc.tamu.edu/training/ace
 s_ai4faculty.html 
URL:https://support.access-ci.org/events/8510
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