Overview

This short course covers some intermediate topics in CUDA programming on NVIDIA GPUs. Topics include GPU memory management, parallel kernels in CUDA C. profiling and performance evaluation, etc..

Prerequisites: Unix/Linux skills; Experience with C or C++

Course Materials

Presentation Slides

The presentation slides are available as downloadable PDF files.

• Intermediate CUDA Programming (Fall 2017): PDF

Participation

During the training, attendees are expected to log in to an HPRC cluster using their own computer and complete the instructor-led examples and exercises.

Agenda

This course focuses, among others, on the following topics:

• GPU Memory management
• Parallel kernels in CUDA C
• Parallel communication and synchronization
• Running a CUDA code on Ada
• Profiling and performance evaluation