Free lunch is over _Herb Sutter
The traditional approach to application was to simply wait for the next generation of processor, most software developers did not need to invest in performance tunning, and enjoyed a "free lunch" from hardware improvement. Now ball is in programmers court. What you can do about it?
Transition from single-core to multicore, Heterogeneous cores and Elastic compute cloud cores
This course is a graduate-level introduction to parallel computing. Its goal is to give you the foundations to develop, analyze, and implement parallel and locality-efficient algorithms for better use of all resources of the computer or HPC cluster.
Below the table for the grading system for this module.
| Topic | grading |
|---|---|
| Practical Lab (participation grade) | 20% |
| Project presentation | 30% |
| Final exam | 50% |
