Parallel Computer Architecture | Programming - Carnegie-Mellon University

Dive deep into the principles and trade-offs of modern parallel computing systems. Learn effective parallel programming techniques to harness their power.

Introduction

The goal of this course is to provide a deep understanding of the fundamental principles and engineering trade-offs involved in designing modern parallel computing systems as well as to teach parallel programming techniques necessary to effectively utilize these machines. Because writing good parallel programs requires an understanding of key machine performance characteristics, this course will cover both parallel hardware and software design.

Highlights

• Covers both parallel hardware and software design
• Teaches parallel programming techniques to effectively utilize parallel computing systems
• Provides a deep understanding of the fundamental principles and engineering trade-offs in designing modern parallel computing systems

Recommendation

This course is recommended for students interested in understanding the principles and engineering trade-offs involved in designing modern parallel computing systems, as well as learning parallel programming techniques to effectively utilize these machines. It is suitable for those pursuing careers in parallel computing, high-performance computing, or software engineering.