iap09 cuda@mit 6.963 - lecture 01: logistics (nicolas pinto, mit)
DESCRIPTION
See http://sites.google.com/site/cudaiap2009 and http://pinto.scripts.mit.edu/Classes/CUDAIAP2009TRANSCRIPT
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
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
COME