Thread (computing): Difference between revisions

Revision as of 17:16, 1 January 2004

Revision as of 18:33, 1 January 2004

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[[ja:スレッド (コンピュータプログラミング)]] [[pl:Wątek (informatyka)]] [[es:hilo(informática)]] [[de:Thread]]

Many [[programming language]]s, [[operating system]]s, and other [[software development environment]]s environments support what are called "'''threads'''" of [[execution]]. [[Thread]]s are similar to [[computer process|processes]], in that both represent a single [[sequence]] of [[instruction]]s executed in parallel with sequences, either by [[Computer multitasking|time slicing]] or [[multiprocessing]]. This allows a [[computer program|program]] to split itself into two or more simultaneously running [[task]]s.

A common use of threads is having one thread paying attention to the [[graphical user interface]], while others do a long calculation [[Background (computer software)|in the background]].

TheAs a result, the user will seeexperience thea responsive [[application]] responsive.

Threads are distinguished from traditional multi-tasking [[computer process|processes]] in that processes are typically independent, carry considerable [[state information]], and interact only through system-provided [[inter-process communication]] mechanisms. Multiple threads, on the other hand, typically share the state information of a single process, share [[memoryComputer storage|memory]] and other [[resource]]s directly. On [[operating system]]s that have special facilities for threads, it is typically faster for the system to [[context- switch]] between different threads in the same process than to switch between different processes.

Systems like [[Windows NT]] and [[OS/2]] are said to have "cheap" threads and "expensive" processes, while in systems like [[Linux]] there is not so big a [[difference]].

An [[advantage]] of a multi-threaded program is that it can operate faster on [[machinecomputer system]]s that have multiple [[CPU]]s, or across a [[computer cluster|cluster]] of machines. This is because the threaded nature of the [[algorithm]]s allow true simultaneous and independent [[processing]]. In such a case, the [[programmer]] needs to be careful to avoid [[race condition]]s, and other non-intuitive [[behavior]]s. In order for data to be correctly manipulated, threads will often need to [[rendezvous]] in time in order to process the data in the correct order. Threads may also require [[Atomic_(computer_science)|atomic]] operations (often implemented using [[semaphore (programming)|semaphores]]) in order to prevent data from being simultaneously modified, or read while in the process of being modified. Careless use of such [[primitive]]s can lead to [[deadlock]]s.

Use of threads in [[programming]] often causes a [[state inconsistency]]. A common [[anti-pattern]] is to set a [[global variable]], then invoke [[subprogram]]s that depend on its value. This is known as ''[[accumulate and fire]]''.

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* [[signal]]s

The [[Java programming language]] is an example of a [[computer language]] which supports multi-threaded [[computer program|program]]s.

A relatively new [[concept]] is [[simultaneous multithreading]], that was introduced in [[Intel]]'s [[Pentium 4]] 3.06 GHz processor, with the name of [[Hyper-threading]]

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* [http://www.jetbyte.com/portfolio-showarticle.asp?articleId=38&catId=1&subcatId=2 Business logic processing in a socket server - thread pools]

* [http://www.cs.rice.edu/CS/Systems/ScalaServer/ System support for scalable network servers]

* [http://citeseer.nj.nec.com/larus02using.html cohort scheduling]