Unlock the power of modern computing systems with this hands-on specialization designed for scientists, engineers, scholars, and technical professionals. Whether you're working with large datasets, building machine learning models, or running complex simulations, high-performance computing (HPC) skills can significantly accelerate your work.
Throughout the specialization, you'll build a strong foundation in parallel and distributed computing. You’ll start by learning the basics of Linux environments, shell scripting, and strategies for writing optimized code. You’ll explore how to identify and resolve performance bottlenecks using profiling tools and gain a high-level understanding of modern HPC and cloud architectures. Finally, you’ll dive into parallel programming using the Message Passing Interface (MPI) for scalable code in distributed systems.
By the end of this specialization, you’ll be equipped with practical tools and techniques to write efficient, scalable code for high-performance environments. Prior experience with C, C++, or Python is recommended.
Applied Learning Project
Throughout the specialization, you’ll complete a series of practical programming assignments in C++. These projects are designed to reinforce core concepts in high-performance and parallel computing, including code optimization, profiling, and message passing. By applying what you learn in real-world coding scenarios, you’ll gain confidence and experience writing efficient, scalable programs for HPC environments.
