Overview

Instructor(s): Dr. Zhenhua He

Time: March 2026

Location: online using Zoom

Prerequisite(s): Current ACCESS ID; basic Linux/Unix skills; basic understanding of machine learning concepts, neural networks, and deep learning; familiarity with deep learning frameworks TensorFlow and/or PyTorch

This course provides an overview of Intel PVC GPUs, guidance on accessing these GPUs on the ACES cluster at Texas A&M High Performance Research Computing, and demonstrations of running AI/ML models with the GPUs using PyTorch and Tensorflow.

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Course Materials

• ACES: Introducing Intel PVC GPUs (Fall 2025): PDF

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• ACES: Introducing Intel PVC GPUs (Spring 2025): PDF
• ACES: Introducing Intel PVC GPUs (Fall 2024): PDF   Video
• ACES: Introducing Intel PVC GPUs (Spring 2024): PDF

Participation

During the training, attendees are expected to use their own computer and complete the instructor-led examples and exercises.

Learning Objectives and Agenda

In this class, participants will:

• Access the Intel PVC GPUs on ACES cluster
• Learn how to run PyTorch and TensorFlow models with PVC GPUs.
• Learn to migrate a TensorFlow image classification model to PVC.
• Learn to migrate a PyTorch image classification model to PVC.

Topics covered include:

• Intro to Intel PVC
  We will introduce Intel's PVC, its architecture, and the PVC GPUs on the TAMU ACES platform.
• Demo on ACES
  Students will learn how to run models of different frameworks with PVC GPUs on the ACES system.
• TensorFlow on PVC
  Students will learn how to convert a TensorFlow image classification model to run on a PVC GPU.
• PyTorch on PVC
  Students will learn how to convert a PyTorch image classification model to run on a PVC GPU.