The following is a schedule of the lecture material and reading assignments. This is very tentative, and is only intended to give you and idea of the topics to be covered. This page will be updated during the semester to reflect the actual lecture topics.
 
 

Lecture Date	Topic
Lecture 1, Aug. 27	Overview of Parallel Computing
Lecture 2, Aug. 29	Uniprocessor Memory Hierarchies
Lecture 3, Sep. 5	Overview of Machines and Models
Lecture 4, Sep. 10	Shared Memory Machines
Lecture 5, Sep. 12	Programming Shared Memory
Lecture 6, Sep. 17	Distributed Memory Machines	Matt Welsh
Lecture 7, Sep. 19	Message Passing Programming (MPI)
Lecture 8, Sep. 24	Sources of Parallelism and Locality I
Lecture 9, Sep. 26	Sources of Parallelism and Locality II
Lecture 10, Oct. 1	UPC
Lecture 11, Oct. 3	Titanium	Dan Bonachea
Lecture 12, Oct. 8	Computational Biology	Teresa Head-Gordon
Lecture 13, Oct. 10	Performance Tuning with TAU	Sameer Shende
Lecture 14, Oct. 15	Parallel Matrix Multiply
Lecture 15, Oct. 17	Sparse Matrix-Vector Multiplication
Lecture 16, Oct. 22	Dense Linear Algebra	Jim Demmel
Lecture 17, Oct. 24	Sparse Direct Solvers	Xiaoye Li
Lecture 18, Oct. 29	Graph Partitioning I
Lecture 19, Oct. 31	Graph Partitioning II
Lecture 20, Nov. 5	Dynamic Load Balancing
Lecture 21, Nov. 7	Sorting
Nov. 12	No class, Veteran's Day
Lecture 22, Nov. 14	Matrix multiply results/discussion	David Bindel
Lecture 23, Nov. 19	Poisson: Jacobi, CG, SOR, FFT
Lecture 24, Nov. 21	Poisson: Multigrid
Lecture 25, Nov. 26	Tree Structured Computations
Lecture 26, Nov. 28	Visualization at NERSC	Field trip
Lecture 27, Dec. 3	TBD
Lecture 28, Dec. 5	The Future of High End Computing
December 12	Poster Session	12:30-3pm, Wozniak