Big Books of Spring
Genres

Concurrency


Concurrency Books

Java Concurrency in Practice
The Art of Multiprocessor Programming
Seven Concurrency Models in Seven Weeks: When Threads Unravel (The Pragmatic Programmers)
Concurrency in Go: Tools and Techniques for Developers
The Little Book of Semaphores: The Ins and Outs of Concurrency Control and Common Mistakes
C++ Concurrency in Action: Practical Multithreading
Concurrent Programming in Java : Design Principles and Pattern, 2nd Edition
Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming
Programming Concurrency on the JVM: Mastering Synchronization, STM, and Actors
Programming with POSIX Threads
Concurrency in C# Cookbook: Asynchronous, Parallel, and Multithreaded Programming
Principles of Concurrent and Distributed Programming (Prentice-hall International Series in Computer Science)
Erlang Programming: A Concurrent Approach to Software Development
Concurrency with Modern C++
Learn Concurrent Programming with Go
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Lists

Fault-tolerant Agreement in Synchronous Message-passing Systems by Michel RaynalDistributed Computing Pearls by Gadi TaubenfeldCooperative Task-Oriented Computing by Chryssis GeorgiouNew Models for Population Protocols by Othon MichailSecure Multi-Party Computation Against Passive Adversaries by Ashish Choudhury
Synthesis Lectures on Distributed Computing Theory
18 books — 1 voter
Metaprogramming Elixir by Chris McCordProgramming Elixir by Dave ThomasTake off with Elixir by Rob ConeryElixir in Action by Saša JurićProgramming Elixir 1.3 by Dave Thomas
Learning Elixir
12 books — 6 voters

Distributed Systems by Andrew S. TanenbaumPatterns of Distributed Systems (Addison-Wesley Signature Series by Unmesh joshiDistributed Systems by George CoulourisDistributed Systems For Fun and Profit by Mikito TakadaDistributed Algorithms by Nancy A. Lynch
Distributed Computing
11 books — 2 voters

Quotes Tagged “Concurrency”

“ Debugging tip: For server applications, be sure to always specify the -server JVM command line switch when invoking the JVM, even for development and testing. The server JVM performs more optimization than the client JVM, such as hoisting variables out of a loop that are not modified in the loop; code that might appear to work in the development environment (client JVM) can break in the deployment environment (server JVM). ”
― Brian Goetz, Java Concurrency in Practice
2 likes

“ Sometimes abstraction and encapsulation are at odds with performance — although not nearly as often as many developers believe — but it is always a good practice first to make your code right, and then make it fast. ”
― Brian Goetz, Java Concurrency in Practice
8 likes

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