Modern Numerical Computing

Announcements

1. Students' final project materials are now up. Thank you so much for participating in the course. We hope you enjoyed it!
2. 11/28: Final project presentation schedules and rules announced. Starts Monday (12/3) and ends Wednesday (12/12).
3. 11/21: Homework 4 due Friday November 30 is up.
4. 10/05: Project rules published! Topic proposal on Oct 11 during office hours!
5. 9/30: Check out the note on using Google Colab to run your notebooks.
6. 9/27: Homework 3 due Wednesday October 3 is up.
7. 9/18: Homework 2 due Monday September 24 is up.
8. 9/12: Office Hours are on Thursday from 4 PM - 5:30 PM at the Julia Lab (Building 32-G, 7th Floor). Enter Stata, find the Gates tower, come to the 7th floor, and follow the directions to the Julia lab.
9. 9/8: Homework 1 due Monday September 17 is up.
10. Join the Piazza forum for this course.
11. Please take the pre-class survey.

Introduction

Have you ever wondered why:

• code that is easy to write is never high-performance and
• high-performance code is never easy to write?

In this course we'll break down all the barriers that get in the way of writing high performance code. We expect to cover topics in

• machine learning,
• numerical linear algebra,
• GPU computing,
• parallel computing,

and much more...

Also, watch out for exciting guest lectures!

Getting Started

1. Create an account on GitHub and add your SSH key.
2. Fill out the pre-class survey.
3. Signup onto Piazza.
4. Install Julia 1.0 on your laptop (platform specific instructions)
5. We recommend using Julia via Juno, VSCode or Jupyter

Using Google Colab

Students who would like to run the notebooks on GPUs can do so via Google Colab. The machine learning notebooks are available on Google Drive, provided you install Julia on Colab via the colab_install_julia notebook.

Office Hours

TAs will be available at the JuliaLab in CSAIL every Thursday from 4 PM to 5:30 PM. To get there, go to Stata (Building 32), find the Gates Building and take the lift to the 7th floor. You will find directions to the Julia Lab on the walls. If these office hours are inconvenient, just walk up to the TAs and they'll help you.

Update: We just realised that the office hours are inconvenient for some people. You can contact the TA at ranjanan AT mit DOT edu and speak separately about any questions or issues.

Grading

Homework = 40% (Roughly 6 assignments)

Midterm Project = 20%

Final Project = 40%

2017 Class

2016 Class

2015 Class

2013 Class

2012 Class

2011 Class

2010 Class

2009 Class

2008 Class

2006 Class

2005 Class

2004 Class

2003 Class

2002 Class