MIT Parallel Computing and Scientific Machine Learning

Preface

This book is a compilation of lecture notes from the MIT Course 18.337J/6.338J: Parallel Computing and Scientific Machine Learning. It is meant to be a live document, updating to continuously add the latest details on methods from the field of scientific machine learning and the latest techniques for high-performance computing.

All original content was created by Dr. Chris Rackauckas with assistance from David Sanders. Contributors from JuliaHub & MIT continue to make revisions in the hopes to make the SciML ecosystem accessible to all.

Examples and applications will be shown using the Julia programming langauge.

Important

This is not the official site for MIT course 18.337J/6.338J and may not contain most up-to-date content. Click here to visit the official course site.

This is site serves simply as an alternative viewing option for the course material. Hope you enjoy.