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Google I/O 2012 - Go Concurrency Patterns

Google for Developers
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Rob Pike Concurrency is the key to designing high performance network services. Go's concurrency primitives (goroutines and channels) provide a simple and efficient means of expressing concurrent execution. In this talk we see how tricky concurrency problems can be solved gracefully with simple Go code. For all I/O 2012 sessions, go to https://developers.google.com/io/ ...more
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These chapters are auto-generated

Introduction

0:00

What is concurrency

0:54

Concurrency vs Parallelism

2:01

History of Concurrent Programming

3:44

Erlang vs Go

4:51

Random sleeping interval

6:58

Running the program

7:09

Go concurrency

8:38

Buffered channels

13:17

Go approach

13:42

Concurrency patterns

14:13

Generator

14:26

Fanin

16:57

Wait Channels

18:28

Select Statement

20:01

Fanin Statement

22:01

Timeout

22:48

Communication

25:50

Synchronization

26:10

Chinese Whispers

26:28

Fake Search

29:24

Timeout Pattern

32:10

Replication Pattern

33:10

Summary

35:38

Other examples

36:16

Conclusion

37:38

Questions

39:44
Google I/O 2012 - Go Concurrency Patterns
7.4KLikes
830,981Views
2012Jul 2
Rob Pike Concurrency is the key to designing high performance network services. Go's concurrency primitives (goroutines and channels) provide a simple and efficient means of expressing concurrent execution. In this talk we see how tricky concurrency problems can be solved gracefully with simple Go code. For all I/O 2012 sessions, go to https://developers.google.com/io/

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Google for Developers

2.42M subscribers