Some languages did not have any support for multithreaded programming and have added it.
一些语言本身并不支持多线程编程，对多线程编程的支持是后来加上的。
Sharing resources between threads is a frequent necessity in multithreaded programming.
在执行绪之间共用资源是多执行绪程序设计常见的需求。
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But multithreaded programming is notoriously hard to do correctly, so this limitation is not without a silver lining.
但是众所周知，多线程编程是很容易出错的，所以这个限制并不是一点益处都没有。
The following topics introduce you to some of the considerations and best practices for multithreaded programming.
下列主题将简介多执行绪程式设计的一些考量和最佳应用。
The multithreading topics do not teach the basics of multithreaded programming, only how to use MFC in your multithreaded program.
多执行绪主题没有教授多执行绪程式设计的基本概念，只有教授如何在您的多执行绪程式中使用MFC。
A primary concern in multithreaded programming is to make sure the program runs correctly — thread safe — in a system where multiple threads are executing.
多线程编程中的一个主要考虑是确保程序在执行多线程的系统中正确地——线程安全地——运行。
This article mainly covers problems and solutions specific to multithreaded programming, leaving the general questions of multiprogramming for another day.
本文主要讨论特定于多线程编程的问题和解决方案，一般的多道程序设计问题留待以后讨论。
Studying concurrency bug patterns is a good way to discover the pitfalls of multithreaded programming and will help you master the subtleties of its idioms.
研究并发缺陷模式是一个发现多线程编程问题的好方法，也有利于掌握这些方法的微妙之处。
In this installment of the 5 things series, I introduce some of the subtler aspects of multithreaded programming with synchronized methods, volatile variables, and atomic classes.
在这期的5件事系列中，我将通过同步方法、volatile变量和原子类介绍多线程编程的一些更隐晦的方面。
Writing and debugging multithreaded programming is inherently a complicated and tricky undertaking, because you must ensure that objects are not accessed by more than one thread at a time.
因为您必须确定一次不能有一个以上的执行绪存取物件，所以撰写和侦错多执行绪程序设计会相当复杂并难以处理。
Simply put: switching your concurrent programming model to actors makes multithreaded applications easier to code.
简而言之，将您的并发编程模型转换为角色使多线程应用程序更容易编码。
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