1. No.
Date
Agenda 1
09/14/2012
 Course Organization; [slides]  Lecture 1 - What is Cloud Computing [slides] 2
09/21/2012
 Lecture 2 - The Art of Concurrency [slides] 3
09/28/2012
 Lecture 3- CUDA Introduction [slides] 4
10/12/2012
 Lecture 4- CUDA Memory & Threads [slides] 5
10/19/2012
 Lecture 5- CUDA Efficient Shared Memory Use &Optimization [slides] 6
10/26/2012
 Lecture 6 - MapReduce Introduction [slides] 7
11/02/2012
 Lecture 7 - MapReduce Text Retrieval & LM [slides] 8
11/09/2012
 Lecture 8 - MapReduce Graph Algorithms & databases [slides]

2. Project Week 2 - 7 Project Startup Week 9- 13 Project Presentation
Group (1-2 person)
Project Description (Reference Paper or book chapter)
Presentation candidate time slots
Job Division
Requirements
Week Project Presentation
Week Project Final

3. Lecture 3 CUDA Programming 1张奇
复旦大学
COMP Data Intensive Computing

4. General Ideas Objectives Requirements Learn CUDA
Recognize CUDA friendly algorithms and practices
Requirements
C/C++

5. Outline of CUDA Programming
Week 1
GPU hardware
Introduction CUDA
Week 2
CUDA Programming Model
CUDA Memory
CUDA Thread
Week 3
CUDA Performance Tune
CUDA Optimization Example

61. Reference http://www.bu.edu/pasi/materials/post-pasi-training/
NVIDIA, nVidia CUDA Programming Guide