Lecture 1 (2/3) - Introduction

Lecture 2 (2/5) - MPI, OpenMP, MATLAB*P

Lecture 3 (2/10) - Parallel Prefix

Lecture 4 (2/12) and 5 (2/19) - Dense Linear Algebra

One can see Matrix Computations by Golub and Van Loan for more in depth math background than we will cover in class.

Lecture 6 (2/24), 9 (3/4), and 14 (3/30) - Sparse Linear Algebra

Lecture 7 (2/26) - Parallel Computer Architecture

Lecture 8 (3/2) - STAR-P Demo

Lecture 10 (3/9) - Fast Fourier Transform

Lecture 15 (4/1) - Fast Multipole I