Parallel Computer Architecture and Programming (CMU 15-418/618)

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.

Basic Info
TIME 9:00-10:20am
Instructors: Todd Mowry and Brian Railing
See the course info page for more info on policies and logistics.
Fall 2017 Schedule
Aug 28
Parallelism Demos
Aug 30
Sep 1
Assignment 1 Out - Aug 31
Sep 4
No Class (Labor Day)
Sep 6
Sep 8
Sep 11
Sep 13
Assignment 1 Due
Assignment 2 Out
Sep 15
Sep 18
Sep 20
Sep 22
Directory-Based Cache Coherence
Assignments and Projects
Sept 1Assignment 1: Analyzing Program Performance on a Eight-Core CPU
Sept 14Assignment 2: A Simple CUDA Renderer
weeklyGuidelines 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.