6.963
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IAP0
Supercomputing on your desktop:
Programming the next generation of cheap
and massively parallel hardware using CUDA
Lecture 01
Nicolas Pinto (MIT)
Kick - Off session

Solve Tomorrow’s
Problems,
Today!

Need More
Throughput?

Still doing your
computations the old way?

Tired Of Waiting For
Your Computations?

HPC has changed.
Did You?

Fresh New
Technology
Available NOW!
09)
IAP
(
63
6.9

Guaranteed

Course Goals
• Learn how to program massively parallel
processors and achieve
–high performance
–functionality and maintainability
–scalability across future generations
• Acquire technical knowledge required to
achieve the above goals
–principles and patterns of parallel programming
–processor architecture features and constraints
–programming API, tools and techniques
6.963
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© David Kirk/NVIDIA and Wen-mei W. Hwu, 2007
ad
ECE 498AL1, University of Illinois, Urbana-Champaign

Today
yey!!

Class logistics
Teaching Staff (MIT)

Class logistics
Teaching Staff (MIT)
GPU Computing with
CUDA David Luebke (NVIDIA)
CUDA Demos
Marc Adams (NVIDIA)

Class logistics
Teaching Staff (MIT)
GPU Computing with
CUDA David Luebke (NVIDIA)
CUDA Demos
Marc Adams (NVIDIA)
High-Throughput
Scientific Computing
Hanspeter Pfister (Harvard)

Some Logistics...

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Faculty: Prof. Steven G. Johnson

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TAs: Justin Riley and Nicolas Poilvert

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Instructor: Nicolas Pinto
Contact: pinto@mit.edu

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Lectures: M/W/F 10-12 (#32-155)
HandsOn: M/W/F 2-5 (#32-141)
Project Hours: T/R 2-5 (#3-370)

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/ CUDA Basics
/
/ CUDA Advanced
/
/ Theory
/
/ Case Studies
/
/ Projects
/

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30+ GPUs

are
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19 MacBook Pro

are
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$70,000+
from NVIDIA, Rowland/Harvard and MIT
(OEIT, DiCarlo Lab, Graphics CSAIL, EECS)

The “Project”

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@the_end_of_the_course
MIT
6.963

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1) Discussion Group
2) Team Project
3) Assignments
4) Enjoy!
Contact: pinto@mit.edu

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