Completed
Mixing models - tasks context
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
C++ Parallel Programming Models
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 About me
- 3 Why parallel programming? 1. Performance 2. Hide I/O 3. Responsiveness
- 4 C++ parallel programming facilities
- 5 C++ parallel programming models
- 6 Talk outline
- 7 Major components (partial list)
- 8 Missing part - safe shared state
- 9 Thread-level API shortcomings
- 10 Model #2: Task-based parallelism
- 11 Tasks are asynchronous
- 12 async execution
- 13 future and promise
- 14 packaged_task
- 15 What's C++ tasks model like?
- 16 Experimental future features
- 17 Coroutines and executors
- 18 Threads vs. tasks
- 19 Model #3: Data parallelism
- 20 C++ Parallel algorithms
- 21 Using parallel algorithms
- 22 sequenced_policy Forces execution to take place on the calling thread + Differs from no-policy call
- 23 Models comparison Unstructured
- 24 Mixing models - unstructured context
- 25 Mixing models - tasks context
- 26 Mixing models - parallel algorithms
- 27 Summary
