Multithreaded Programming with C++

A professional C++ programmer needs to know how to write correct multithreaded code to take full advantage of all the available processor units. Writing multithreaded applications used to rely on platform‐ and operating system‐specific APIs. This made it difficult to write platform‐independent multi...

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Vydané v:Professional C++ s. 1 - 2
Hlavný autor: Gregoire, Marc
Médium: Kapitola
Jazyk:English
Vydavateľské údaje: Hoboken, New Jersey John Wiley & Sons 2018
John Wiley & Sons, Inc
Vydanie:4th Edition
Predmet:
atomics
deadlocks
explicit synchronization mechanisms
false‐sharing
multithreaded programming
professional C++ programmer
Programming Languages
race conditions
Software Engineering
tearing
thread local storage
ISBN:1119421306, 9781119421306
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Abstract A professional C++ programmer needs to know how to write correct multithreaded code to take full advantage of all the available processor units. Writing multithreaded applications used to rely on platform‐ and operating system‐specific APIs. This made it difficult to write platform‐independent multithreaded code. C++11 solved this problem by including a standard threading library. A difficult part of multithreaded programming is making the algorithm parallel, which is highly dependent on the type of the algorithm. Other difficulties are preventing race conditions, deadlocks, tearing, and false‐sharing. This chapter discusses these difficulties in more detail. They are usually solved using atomics or explicit synchronization mechanisms. Launching a new thread is pretty easy. However, in most cases the programmers are probably interested in results produced by the thread. There is one easier method to obtain a result from threads: futures.
AbstractList A professional C++ programmer needs to know how to write correct multithreaded code to take full advantage of all the available processor units. Writing multithreaded applications used to rely on platform‐ and operating system‐specific APIs. This made it difficult to write platform‐independent multithreaded code. C++11 solved this problem by including a standard threading library. A difficult part of multithreaded programming is making the algorithm parallel, which is highly dependent on the type of the algorithm. Other difficulties are preventing race conditions, deadlocks, tearing, and false‐sharing. This chapter discusses these difficulties in more detail. They are usually solved using atomics or explicit synchronization mechanisms. Launching a new thread is pretty easy. However, in most cases the programmers are probably interested in results produced by the thread. There is one easier method to obtain a result from threads: futures.
Author Gregoire Marc
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2018 John Wiley & Sons, Inc.
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Snippet A professional C++ programmer needs to know how to write correct multithreaded code to take full advantage of all the available processor units. Writing...
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SubjectTerms atomics
deadlocks
explicit synchronization mechanisms
false‐sharing
multithreaded programming
professional C++ programmer
Programming Languages
race conditions
Software Engineering
tearing
thread local storage
TableOfContents 23.1 Introduction 23.2 Threads 23.3 Atomic Operations Library 23.4 Mutual Exclusion 23.5 Condition Variables 23.6 Futures 23.7 Example: Multithreaded Logger Class 23.8 Thread Pools 23.9 Threading Design and Best Practices Summary
Title Multithreaded Programming with C++
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