CIS 565: GPU Programming and Architecture

Fall 2012

University of Pennsylvania
Computer Graphics @ Penn

Course Overview • FAQ • Schedule • Student Work • Previous semester

Description

GPU hardware, CUDA, massively parallel algorithms, graphics pipeline, real-time rendering, 3D engine architecture, OpenGL, OpenGL ES, WebGL, and mobile GPUs.

This is a project-intensive course with significant coding, writing, and presenting.

Prerequisites

Passion for computer graphics.
CIS 460/560: Introduction to Computer Graphics. Preferably received an A.
Strong C or C++.
Also useful:
- CIS 371: Digital Systems Organization and Design, or
- CIS 501: Introduction to Computer Architecture.

Instructor

Patrick Cozzi, pjcozzi+cis565@gmail.com
Office Hours: Immediately following class

Teaching Assistant

Karl Li, yiningli@seas.upenn.edu
Office: SIG Lab
Office Hours: Tuesday, 4:30-6pm, and Friday, 2-5pm

Meeting

Monday and Wednesday, 6-7:30pm, Moore 212

Online

Our Piazza
Our GitHub Organization

Recommonded Books

No books are required, but course material comes from many sources including:

Real-Time Rendering, 2008, Tomas Akenine-Möller, Eric Haines, and Naty Hoffman.
OpenGL Insights, 2012, Patrick Cozzi and Christophe Riccio, editors. Selected readings handed out in class.
Programming Massively Parallel Processors, 2010, David Kirk and Wen-mei Hwu. Old draft pdfs are on the website for ECE 498 AL at UIUC.

Grading

Projects: 60%
Final Project: 40%

Academic Integrity

An academic integrity violation will result in the student receiving an F in this course.

See Academic Integrity at the University of Pennsylvania: A Guide for Students.

Lab Resources

Moore 100b - NVIDIA GeForce 9300 GEs.
SIG Lab - Most systems have at least NVIDIA GeForce 8800s. Two systems have a GeForce 480, three have Fermi Quadros, one has a Fermi Tesla, and one has an AMD card.

Acknowledgements

Changes to the course for this semester are based on input from many passionate folks in our field: Johan Andersson, (@repi),Quarup Barreirinhas, (@quarup), Wolfgang Engel, (@wolfgangengel), Mikkel Gjoel, (@pixelmager), Eric Haines, (@pointinpolygon), Dominik Lazarek, (@Omme), Emil Persson, (@_Humus_), and Christophe Riccio, (@g_truc); and the input of previous students, including: Xing Du, Karl Li, Ian Lilley.

Joe Kider, Gary Katz, and Suresh Venkatasubramanian taught this course before me, and their contributions are many.