- Sequential vs. parallel computing
- Shared vs. distributed memory
- Using multiples threads and processes
- Basic stages of a thread lifecycle
- Preventing data races
- Enforcing mutual exclusion
- Checking for liveness
Skill Level Advanced
- There's an old saying that two heads are better than one. - Well, when it comes to parallel programming I say two threads are better than one. I'm Barron Stone. - And I'm Olivia Stone. In this course, we'll introduce you to the fundamental concepts for concurrent and parallel programming. - These are the basic mechanisms you need to develop programs that can do multiple things at once, to take advantage of multi-core processors, and parallel hardware. - [Olivia] We'll focus on the general concepts and relate them back to everyday activities in the kitchen to make those ideas easier to understand and have some fun. - [Barron] Then, to cement those abstract ideas, we'll demonstrate them in action using the Python programming language. If you're new to concurrent and parallel programming, this is a great place to start. - [Together] Let's get to it.
1. Parallel Computing Hardware
2. Threads and Processes
3. Mutual Exclusion
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