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M. B., Jr. (talk | contribs) Referenced inclusion of remark in the introductory section, regarding processes and processors models. |
Guy Harris (talk | contribs) The page where Tanenbaum said that is needed. The one place I found is talking about models of distributed computing, not models of processes and threads. |
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[[File:Concepts- Program vs. Process vs. Thread.jpg|thumb|[[Computer program|Program]] vs. [[Process (computing)|Process]] vs. Thread <br/>[[Scheduling (computing)|Scheduling]], [[Preemption (computing)|Preemption]], [[Context switch|Context Switching]]|400x400px]]
In [[computer science]], a '''thread''' of [[Execution (computing)|execution]] is the smallest sequence of programmed instructions that can be managed independently by a [[scheduling (computing)|scheduler]], which is typically a part of the [[operating system]].<ref>{{Cite journal |last=Lamport |first=Leslie |author-link=Leslie Lamport |date=September 1979 |title=How to Make a Multiprocessor Computer That Correctly Executes Multiprocess Programs |url=http://research.microsoft.com/en-us/um/people/lamport/pubs/multi.pdf |journal=IEEE Transactions on Computers |volume=C-28 |pages=690–691 |doi=10.1109/tc.1979.1675439 |number=9 |s2cid=5679366}}</ref> The implementation of threads and [[process (computing)|processes]] differs between operating systems. In [[Modern Operating Systems]], [[Andrew_S._Tanenbaum|Tanenbaum]] shows that many distinct models of process organization are possible.<ref name="tanenbaum199200">TANENBAUM, Andrew S. Modern Operating Systems. 1992. Prentice-Hall International Editions, ISBN 0-13-595752-4.</ref>{{Page needed}} In many cases, a thread is a component of a process. The multiple threads of a given process may be executed [[concurrent computation|concurrently]] (via multithreading capabilities), sharing resources such as [[Shared memory (interprocess communication)|memory]], while different processes do not share these resources. In particular, the threads of a process share its executable code and the values of its [[Memory management#HEAP|dynamically allocated]] variables and non-[[thread-local storage|thread-local]] [[global variable]]s at any given time.
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