Concurrent computing Concurrent computing The cigarette smokers problem is a concurrency problem, originally described in 1971 by Suhas Patil. ...more on Wikipedia about "Cigarette smokers problem"
In computer science, concurrency is concerned with the study and design of systems which consist of computations that execute overlapped in time (including running in parallel), and which may permit the sharing of common resources between those overlapped computations. The design of such concurrent systems often entails finding reliable techniques for coordinating their execution, data exchange, memory allocation, and execution scheduling in such a way as to minimize response time and maximise throughput. Levels of coordination can be ranked by coupling — from tightest to loosest. Generally, the tighter the coupling between concurrent computations and the more use of a shared resource, the more contention there can be for that resource. However, not all systems that are concurrent appear that way from the perspective of the end-user. Some systems implement a form of transparent concurrency, in which multiple users may compete for and share a single resource, but the complexities of this competition and sharing are shielded from the user. ...more on Wikipedia about "Concurrency (computer science)"
In computer science, concurrency semantics is a way to give ...more on Wikipedia about "Concurrency semantics"
Concurrent computing is the overlapped coordinated execution of the multiple tasks (split up and specially adapted) on multiple processors in order to share common resources. ...more on Wikipedia about "Concurrent computing"
Concurrent programming languages are programming languages that use language constructs for concurrency. These constructs may involve multi-threading, support for distributed computing, message passing, shared resources (including shared memory) or futures (known also as promises). ...more on Wikipedia about "Concurrent programming language"
In computer science, denotational semantics is an approach to formalizing the semantics of computer systems by constructing mathematical objects (called denotations or meanings) which express the semantics of these systems. Other approaches to providing a formal semantics of programming languages include axiomatic semantics and operational semantics. The denotational approach to semantics was originally developed to deal only with systems defined by a single computer program. Later the field broadened to include systems composed of more than one program, such as those found in networking and concurrent systems. ...more on Wikipedia about "Denotational semantics"
In computer science, message passing programming, as opposed to imperative programming, is a programming paradigm that describes computation in terms of communicating messages to recipients that have local state as opposed to operations that change shared memory. Prominent examples of the message passing approach are the Actor model, Web Services, and the Internet. ...more on Wikipedia about "Message passing programming"
In computer science, a parallel algorithm, as opposed to a traditional serial algorithm, is one which can be executed a piece at a time in many different processing devices, and then put back together again at the end to get the correct result. ...more on Wikipedia about "Parallel algorithm"
A Petri net (also known as a place/transition net or P/T net) is one of several mathematical representations of discrete distributed systems. As a modeling language, it graphically depicts the structure of a distributed system as a directed bipartite graph with annotations. As such, a Petri net has place nodes, transition nodes, and directed arcs connecting places with transitions. Petri nets were invented in 1962 by Carl Adam Petri in his PhD thesis. ...more on Wikipedia about "Petri net"
In computer science, the sleeping barber problem is a classic inter-process communication and synchronization problem between multiple operating system processes. The problem is analogous to that of keeping a barber working when there are customers, resting when there are none and doing so in an orderly manner. The barber and his customers represent aforementioned processes. ...more on Wikipedia about "Sleeping barber problem"
In computer science, unbounded nondeterminism (sometimes called unbounded indeterminacy) is a property of concurrency by which the amount of delay in servicing a request can become unbounded as a result of arbitration of contention for shared resources while still guaranteeing that the request will eventually be serviced. Unbounded nondeterminism became an important issue in the development of the denotational semantics of concurrency. ...more on Wikipedia about "Unbounded nondeterminism"
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