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Classroom Contents
Running Python Code in Parallel and Asynchronously
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- 1 Introduction
- 2 Other talks
- 3 About me
- 4 Frameworks and tools
- 5 Akamai
- 6 Concurrent
- 7 Parallel and asynchronous
- 8 Threads and processes
- 9 How it applies to Python
- 10 Raymond Hettinger
- 11 Amdahl Law
- 12 Example
- 13 Parallel vs coarsegrained problems
- 14 Memory architectures
- 15 Ctype objects
- 16 Shared memory
- 17 Managers
- 18 Pullmap
- 19 Pool
- 20 Worker models
- 21 Multiworking applications
- 22 Multiple machines
- 23 Hyper threading
- 24 Slots
- 25 Dont target 100 utilization
- 26 How pipes are implemented
- 27 deadlocks
- 28 diamonds
- 29 readpep
- 30 what will you get
- 31 run
- 32 one obvious way
- 33 summary
- 34 questions
