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

3,587 views
3,465 views

Published on

See http://sites.google.com/site/cudaiap2009 and http://pinto.scripts.mit.edu/Classes/CUDAIAP2009

Published in: Education, Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
3,587
On SlideShare
0
From Embeds
0
Number of Embeds
24
Actions
Shares
0
Downloads
126
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

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

  1. 1. 6.963 IT / A@M CUD 9 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
  2. 2. Solve Tomorrow’s Problems, Today!
  3. 3. Need More Throughput?
  4. 4. Still doing your computations the old way?
  5. 5. Tired Of Waiting For Your Computations?
  6. 6. HPC has changed. Did You?
  7. 7. Fresh New Technology Available NOW! 09) IAP ( 63 6.9
  8. 8. Guaranteed
  9. 9. 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 d for apte © David Kirk/NVIDIA and Wen-mei W. Hwu, 2007 ad ECE 498AL1, University of Illinois, Urbana-Champaign
  10. 10. Today yey!!
  11. 11. Class logistics Teaching Staff (MIT)
  12. 12. Class logistics Teaching Staff (MIT) GPU Computing with CUDA David Luebke (NVIDIA) CUDA Demos Marc Adams (NVIDIA)
  13. 13. Class logistics Teaching Staff (MIT) GPU Computing with CUDA David Luebke (NVIDIA) CUDA Demos Marc Adams (NVIDIA) High-Throughput Scientific Computing Hanspeter Pfister (Harvard)
  14. 14. Some Logistics...
  15. 15. af f St ing ach Te Faculty: Prof. Steven G. Johnson
  16. 16. af f St ing ach Te TAs: Justin Riley and Nicolas Poilvert
  17. 17. af f St ing ach Te Instructor: Nicolas Pinto Contact: pinto@mit.edu
  18. 18. ule ed ch S Lectures: M/W/F 10-12 (#32-155) HandsOn: M/W/F 2-5 (#32-141) Project Hours: T/R 2-5 (#3-370)
  19. 19. ule ed ch S / CUDA Basics / / CUDA Advanced / / Theory / / Case Studies / / Projects /
  20. 20. ces ur eso R
  21. 21. ces ur eso R
  22. 22. are rdw Ha 30+ GPUs
  23. 23. are rdw Ha 19 MacBook Pro
  24. 24. are rdw Ha $70,000+ from NVIDIA, Rowland/Harvard and MIT (OEIT, DiCarlo Lab, Graphics CSAIL, EECS)
  25. 25. The “Project”
  26. 26. (s) ect oj Pr he T
  27. 27. ct oje Pr he T
  28. 28. ect oj Pr he T Project Presentations @the_end_of_the_course MIT 6.963
  29. 29. ion tit pe om C
  30. 30. onal Pers ifts ter G mpu rco Supe
  31. 31. DO TO 1) Discussion Group 2) Team Project 3) Assignments 4) Enjoy! Contact: pinto@mit.edu
  32. 32. ME CO

×