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intro to python concurrency by beazley.pdf
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上传时间: 2019-07-13
详细说明：David beazley 在pycon 上的presentation， David Beazley 在python领域具有全球号召力和影响力，他对concurrency asyncio 有深入理解和独到的看法，尽管这些看法与core developers 或者说Guido 有些不同。Support Files
o Code samples and support files for this class
http://www.dabeaz.com/usenix2009/concurrent/
e Please go there and follow along
Copyright(c)2009,daVidBeazleyhttp://www.dabeaz.com
An Overview
o Were going to explore the state of concurrent
programming idioms being used in Python
A look at tradeoffs and limitations
e Hopefully provide some clarity
o A tour of various parts of the standard library
y
e Goal is to go beyond the user manual and tie
everything together into a"bigger picture
Copyright(c)2009,daVidBeazleyhttp://www.dabeaz.com
4
Disclaimers
o The primary focus is on Python
This is not a tutorial on how to write
concurrent programs or parallel algorithms
No mathematical proofs involving dining
philosophers"or anything like that
o I will assume that you have had some prior
exposure to topics such as threads, message
passing, network programming, etc
Copyright(c)2009,daVidBeazleyhttp://www.dabeaz.com
Disclaimers
I like Python programming, but this tutorial is
not meant to be an advocacy talk
o In fact, we're going to be covering some
pretty ugly(e. g,"sucky")aspects of Python
e You might not even want to use Python by
the end of this presentation
o That's fine. education is my main agenda
Copyright(c)2009,daVidBeazleyhttp://www.dabeaz.com
Part
Some basic Concepts
Copyright(c)2009,daVidBeazleyhttp://www.dabeaz.com
7
Concurrent Programming
o Creation of programs that can work on
more than one thing at a time
o Example: A network server that
communicates with several hundred clients
all connected at once
o Example A big number crunching job that
spreads its work across multiple cpus
Copyright(c)2009,daVidBeazleyhttp://www.dabeaz.com
8
multitasking
o Concurrency typically implies"multitasking
TaskA
run
run
run
task switch
Task b
run
run
If only one CPU is available, the only way it
can run multiple tasks is by rapidly switching
between them
Copyright(c)2009,daVidBeazleyhttp://www.dabeaz.com
9
Parallel Processing
o You may have parallelism(many CPUs)
Here, you often get simultaneous task execution
aska:
→m-cPU
run
run
run
Task b
CP∪U2
run
run
run
Note: If the total number of tasks exceeds the
number of cpus. then each cpu also multitasks
Copyright(c)2009,daVidBeazleyhttp://www.dabeaz.com
0
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