High Performance Computing for Science and Engineering


With manufacturing processes reaching the limits in terms of transistor density on today’s computing architectures, efficient utilization of computing resources must exploit parallel execution to maintain scaling. The use of computers in academia, industry and society is a fundamental tool for solving (scientific) problems while the "think parallel" mindset of code developers is still lagging behind.

The aim of CS205 is to introduce the student to the fundamentals of parallel programming and its relationship on computer architectures. Various forms of parallelism are discussed and exploited through different programming models with focus on shared and distributed memory programming.

The class syllabus can be found by following this link.

Teaching Staff

Instructors

Boris Kozinsky (bkoz@g.harvard.edu) * Office: Pierce Hall 303 * Office Hours: by appointment

Ignacio Becker Troncoso (iebecker@g.harvard.edu)

Teaching Fellows

Fellow Email
Tanner Marsh tam997@g.harvard.edu
Vlad Cainamisir vcainamisir@college.harvard.edu
Hongyi Sun hongyi_sun@fas.harvard.edu
Aadit Saluja aaditsaluja@college.harvard.edu
Sree Harsha Tanneru sreeharshatanneru@g.harvard.edu
Matthew Shum mshum@college.harvard.edu

Course Calendar

SEC is the Science and Engineering Complex in Allston and MD is the Maxwell-Dworkin building in Cambridge.

Lecture Hours

All lectures are of 75 minutes duration. Time is given in Eastern Standard Time (Boston).

Lecture attendance is expected:

Time Room
Tuesday 2:15 PM - 3:30 PM SEC 1.321
Thursday 2:15 PM - 3:30 PM SEC 1.321

Important Information

git clone git@code.harvard.edu:CS205/main.git

You can request membership in the CS205 organization by filling out this form (using your .harvard.edu email). You must include your NetID, which is also your https://code.harvard.edu username (something similar to abc123). Make sure you log in to https://code.harvard.edu/ before submitting your NetID.

Class Discussion

We will use the Ed Discussion forum on our Canvas page as our main communication platform. Questions regarding homework, labs or lecture material must be posted on this forum and you are encouraged to reply to questions if you know the answer or you can share a useful contribution. A Slack channel will also be provided. It can be accessed on the Slack option on the left menu of Canvas.