CMPUT 382: Introduction to GPU Programming

Overview

This course on heterogeneous parallel computing will deal with:

CUDA Language
Functionality and maintainability of GPU
How to deal with scalability
Portability issues
Parallel programming API, tools and techniques
Principles and patterns of parallel algorithms
Processor architecture features and constraints

Objectives

Learn how to program heterogeneous computing environments
Learn how to solve computing problems using parallel processing frameworks
Understand the limitations of modern heterogeneous computers from a hardware and software point-of-view

Course Work

Assignments
Labs
Final Exam