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Threading can reduce computing efficiency somewhat in single-CPU machines, but the net improvement in program design, resource balancing, and user convenience is often quite valuable. In general, threads enable you to create a more loosely coupled design; otherwise, parts of your code would be forced to pay explicit attention to tasks that would normally be handled by threads.

Concurrency in C++

When the C++ standards committee was creating the initial C++ standard, a concurrency mechanism was explicitly excluded, because C didn’t have one and also because there were a number of competing approaches to implementing concurrency. It seemed too much of a constraint to force programmers to use only one of these.

The alternative turned out to be worse, however. To use concurrency, you had to find and learn a library and deal with its idiosyncrasies and the uncertainties of working with a particular vendor. In addition, there was no guarantee that such a library would work on different compilers or across different platforms. Also, since concurrency was not part of the standard language, it was more difficult to find C++ programmers that also understood concurrent programming.

Another influence may have been the Java language, which included concurrency in the core language. Although multithreading is still complicated, Java programmers tend to start learning and using it from the beginning.

The C++ standards committee is seriously considering the addition of concurrency support to the next iteration of C++, but at the time of this writing it is unclear what the library will look like. Therefore, we decided to use the ZThread library as the basis for this chapter. We preferred the design, and it is open-source and freely available at http://zthread.sourceforge.net. Eric Crahen of IBM, the author of the ZThread library, was instrumental in creating this chapter.[125]

This chapter uses only a subset of the ZThread library, in order to convey the fundamental ideas of threading. The ZThread library contains significantly more sophisticated thread support than is shown here, and you should study that library further in order to fully understand its capabilities.

Installing ZThreads

Please note that the ZThread library is an independent project and is not supported by the authors of this book; we are simply using the library in this chapter and cannot provide technical support for installation issues. See the ZThread web site for installation support and error reports.

The ZThread library is distributed as source code. After downloading it from the ZThread web site, you must first compile the library, and then configure your project to use the library.

The preferred method for compiling ZThreads for most flavors of UNIX (Linux, SunOS, Cygwin, etc.) is to use the configure script. After unpacking the files (using tar), simply execute:

./configure && make install

from the main directory of the ZThreads archive to compile and install a copy of the library in the /usr/local directory. You can customize a number of options when using this script, including the locations of files. For details, use this command:

./configure –help

The ZThreads code is structured to simplify compilation for other platforms and compilers (such as Borland, Microsoft, and Metrowerks). To do this, create a new project and add all the .cxx files in the src directory of the ZThreads archive to the list of files to be compiled. Also, be sure to include the include directory of the archive in the header search path for your project. The exact details will vary from compiler to compiler so you’ll need to be somewhat familiar with your toolset to be able to use this option.

Once the compilation has succeeded, the next step is to create a project that uses the newly compiled library. First, let the compiler know where the headers are located so that your #include statements will work properly. Typically, you will add an option such as the following to your project:

-I/path/to/installation/include

If you used the configure script, the installation path will be whatever you selected for the prefix (which defaults to /usr/local). If you used one of the project files in the build directory, the installation path would simply be the path to the main directory of the ZThreads archive.

Next, you’ll need to add an option to your project that will let the linker know where to find the library. If you used the configure script, this will look like:

-L/path/to/installation/lib –lZThread

If you used one of the project files provided, this will look like:

-L/path/to/installation/Debug ZThread.lib

Again, if you used the configure script, the installation path will be whatever you selected for the prefix. If you used a provided project file, the path will be the path to the main directory of the ZThreads archive.

Note that if you’re using Linux, or if you are using Cygwin (www.cygwin.com) under Windows, you may not need to modify your include or library path; the installation process and defaults will often take care of everything for you.

Under Linux, you will probably need to add the following to your .bashrc so that the runtime system can find the shared library file LibZThread-x.x.so.O when it executes the programs in this chapter:

export LD_LIBRARY_PATH=/usr/local/lib:${LD_LIBRARY_PATH}

(Assuming you used the default installation process and the shared library ended up in /user/local/lib; otherwise, change the path to your location).

Defining Tasks

A thread carries out a task, so you need a way to describe that task. The Runnable class provides a common interface to execute any arbitrary task. Here is the core of the ZThread Runnable class, which you will find in Runnable.h in the include directory, after installing the ZThread library:

class Runnable {

public:

  virtual void run() = 0;

  virtual ~Runnable() {}

};

By making this a pure abstract base class (or as pure as possible, given the constraints on virtual destructors), Runnable allows an easy mixin combination with a base class and other classes.

To define a task, simply inherit from the Runnable class and override run( ) to make the task do your bidding.

For example, the following LiftOff task displays the countdown before liftoff:

//: C11:LiftOff.h

// Demonstration of the Runnable interface.

#ifndef LIFTOFF_H

#define LIFTOFF_H

#include "zthread/Runnable.h"

#include <iostream>

class LiftOff : public ZThread::Runnable {

вернуться

125

Much of this chapter began as a translation from the Concurrency chapter in Thinking in Java, 3rd edition, Prentice Hall 2003.