IAP09 CUDA@MIT 6.963 - Lecture 01: Logistics (Nicolas Pinto, MIT)

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IAP09 CUDA@MIT / 6.963

Supercomputing on your desktop:Programming the next generation of cheap

and massively parallel hardware using CUDA

Lecture 01

Kick Off session-

Nicolas Pinto (MIT)

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?

6.963 (IAP09)

Fresh New Technology Available NOW!

Guaranteed

© David Kirk/NVIDIA and Wen-mei W. Hwu, 2007ECE 498AL1, University of Illinois, Urbana-Champaign

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

adapted for 6.963

Todayyey!!

Class logisticsTeaching Staff (MIT)

Class logisticsTeaching Staff (MIT)

GPU Computing with CUDA David Luebke (NVIDIA)

CUDA DemosMarc Adams (NVIDIA)

High-Throughput Scientific ComputingHanspeter Pfister (Harvard)

Class logisticsTeaching Staff (MIT)

GPU Computing with CUDA David Luebke (NVIDIA)

CUDA DemosMarc Adams (NVIDIA)

Some Logistics...

Faculty: Prof. Steven G. Johnson

Teaching Staff

TAs: Justin Riley and Nicolas Poilvert

Teaching Staff

Instructor: Nicolas PintoContact: pinto@mit.edu

Teaching Staff

Lectures: M/W/F 10-12 (#32-155)HandsOn: M/W/F 2-5 (#32-141)

Project Hours: T/R 2-5 (#3-370)

Schedule

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

Schedule

Resources

Resources

Hardware

30+ GPUs

Hardware

19 MacBook Pro

Hardware

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

The “Project”

The Project(s)

The Project

Project Presentations@the_end_of_the_course

6.963MIT

The Project

Competition

Personal

Supercomputer Gifts

1) Discussion Group 2) Team Project3) Assignments4) Enjoy!

TODO

Contact: pinto@mit.edu

COME

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