From smart phones, to multi-core CPUs and GPUs, to the world's largest supercomputers and web sites, parallel processing is ubiquitous in modern computing. The goal of this course is to provide a deep understanding of the fundamental principles and engineering trade-offs involved in designing modern parallel computing systems as well as to teach parallel programming techniques necessary to effectively utilize these machines. Because writing good parallel programs requires an understanding of key machine performance characteristics, this course will cover both parallel hardware and software design.
Assignment 1 Out - Aug 31
No Class (Labor Day)
Assignment 1 Due
Assignment 2 Out
Directory-Based Cache Coherence
|Sept 1||Assignment 1: Analyzing Program Performance on a Eight-Core CPU|
|Sept 14||Assignment 2: A Simple CUDA Renderer|
|weekly||Guidelines and Tips for Making Good Lecture Comments|
Special thanks to the Intel Corporation, the NVIDIA Corporation, and to DELL for equipment donations and/or financial support for course development. Kayvon has extended the original version of 15-418 and the course follows his vision. Thanks to Matt Pharr for technical assistance with ISPC. Alex Reece, Manish Burman, and Cary Yang developed the course web site.