文件名称:
Pthreads Programming
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文件大小: 9mb
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上传时间: 2011-05-05
详细说明： It's been quite a while since the people from whom we get our project assignments accepted the excuse "Gimme a break! I can only do one thing at a time!" It used to be such a good excuse, too, when things moved just a bit slower and a good day was measured in written lines of code. In fact, today we often do many things at a time. We finish off breakfast on the way into work; we scan the Internet for sports scores and stock prices while our application is building; we'd even read the morning paper in the shower if the right technology were in place! Being busy with multiple things is nothing new, though. (We'll just give it a new computer-age name, like multitasking, because computers are happiest when we avoid describing them in anthropomorphic terms.) It's the way of the natural world—we wouldn't be able to write this book if all the body parts needed to keep our fingers moving and our brains engaged didn't work together at the same time. It's the way of the mechanical world—we wouldn't have been able to get to this lovely prefabricated office building to do our work if the various, clanking parts of our automobiles didn't work together (most of the time). It's the way of the social and business world—three authoring tasks went into the making of this book, and the number of tasks, all happening at once, grew exponentially as it went into its review cycles and entered production. Computer hardware and operating systems have been capable of multitasking for years. CPUs using a RISC (reduced instruction set computing) microprocessor break down the processing of individual machine instructions into a number of separate tasks. By pipelining each instruction through each task, a RISC machine can have many instructions in progress at the same time. The end result is the heralded speed and throughput of RISC processors. Time-sharing operating systems have been allowing users nearly simultaneous access to the processor for longer than we can remember. Their ability to schedule different tasks (typically called processes) really pays off when separate tasks can actually execute simultaneously on separate CPUs in a multiprocessor system. Although real user applications can be adapted to take advantage of a computer's ability to do more than one thing at once, a lot of operating system code must execute to make it possible. With the advent of threads we've reached an ideal state—the ability to perform multiple tasks simultaneously with as little operating system overhead as possible. Although threaded programming styles have been around for some time now, it's only recently that they've been adopted by the mainstream of UNIX programmers (not to mention those erstwhile laborers in the vineyards of Windows NT and other operating systems). Software sages swear at the lunchroom table that transaction processing monitors and real-time embedded systems have been using thread-like abstractions for more than twenty years. In the mid-to-late eighties, the general operating system community embarked on several research efforts focused on threaded programming designs, as typified by the work of Tom Doeppner at Brown University and the Mach OS developers at Carnegie-Mellon. With the dawn of the nineties, threads became established in the various UNIX operating systems, such as USL's System V Release 4, Sun Solaris, and the Open Software Foundation's OSF/1. The clash of platform-specific threads programming libraries advanced the need of some portable, platform-independent threads interface. The IEEE has just this year met this need with the acceptance of the IEEE Standard for Information Technology Portable Operating System Interface (POSIX) Part 1: System Application Programming Interface (API) Amendment 2: Threads Extension [C Language]—the Pthreads standard, for short. This book is about Pthreads—a lightweight, easy-to-use, and portable mechanism for speeding up applications. ...展开收缩
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