CSCI-GA.3033-012
Graphics
Processing Units (GPUs): Architecture and Programming
Prof. Mohamed Zahran
(aka Prof. Z)
mzahran AT cs DOT nyu DOT edu
Thursdays: 7:10PM — 9:00PM WWH 1302
Office Hours: Wednesdays 5-7pm at WWH 328
Announcements
Welcome students! ... to
the Graphics Processing Units course, edition Spring 2012.
I will keep updating this page regularly. If you have
questions related to this course feel free to email me.
Here is some basic information:
This course examines the architecture and capabilities of
modern GPUs (graphics processing unit).
Many computations can be performed
faster on the GPU than on a traditional CPU.
This is why GPUs are present now in almost all
computers; and the majority of Top 500 supercomputers in the world are built
around GPUs.
GPUs are now used for a diverse set of applications not only
traditional graphics applications; which introduces the concept of
general-purpose GPUs or GPGPUs.
In this course, we will cover architectural aspects of modern GPUs.
We will also learn how to program GPUs to solve different type of problems.
Our Grader: Young-Rok Bahn yrbahn (at) gmail dot com
Mailing List
Sign up for the Mailman mailing
list for the course. You can do so by clicking here.
Please follow the mailing list etiquette.
- Use the Reply command to
contribute to the current thread, but NOT to start
another topic.
- If quoting a previous message, try to trim off
irrelevant parts.
- Use a descriptive Subject: field when starting a new topic.
- Do not use one message to ask two unrelated questions.
- Do NOT make the mistake of sending your
completed project assignment to the mailing list!
Lectures
Lecture _______________
reading material
Introduction
chp
1
History of GPUs
chp 2
Modern GPUs : A HW Perspective The following papers: 1 and 2
CUDA
Programming Model
chp 3
CUDA Threads
chp 4
Assignments (non-programming)
- Homework 1 - Due Feb 9th
- Homework 2 (problems 4.1, 4.2, and 4.3 from the text) - Due March 1st
Programming Assignments
Interesting
Links (Geeky stuff about GPUs)
Important link: CUDA GPU Servers at NYU
GPU Computing
CUDA
GPGPU
First digital 3D rendered film (Thanks William Ward)
Interview with Ed Catmull (Thanks William Ward)
NVIDIA GPU computing seminars
For CUDA developers
GPU Simulators and Tools:
GPGPU_sim
Barra
Multi2sim (simulates both GPUs and multicore)
GPUOcelot (dynamic compilation for PTX)