Concurrency (computer science)

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"Concurrent computer" redirects here. For the company, see Concurrent Computer Corporation.
For a more practical discussion, see Concurrent computing. For other uses, see Concurrency (disambiguation).

Concurrency refers to the ability of a system to execute multiple tasks through simultaneous execution or time-sharing (context switching), sharing resources and managing interactions. Concurrency improves responsiveness, throughput, and scalability in modern computing, including: [1][2][3][4][5]

Concurrency is a broader concept that encompasses several related ideas, including: [1][2][3][4][5]

  • Parallelism (simultaneous execution on multiple processing units). Parallelism executes tasks independently on multiple CPU cores. Concurrency allows for multiple threads of control at the program level, which can use parallelism or time-slicing to perform these tasks. Programs may exhibit parallelism only, concurrency only, both parallelism and concurrency, neither. [6]
  • Multi-threading and multi-processing (shared system resources)
  • Synchronization (coordinating access to shared resources)
  • Coordination (managing interactions between concurrent tasks)
  • Concurrency Control (ensuring data consistency and integrity)
  • Inter-process Communication (IPC, facilitating information exchange)

Issues

Because computations in a concurrent system can interact with each other while being executed, the number of possible execution paths in the system can be extremely large, and the resulting outcome can be

resource starvation.[7]

Design of concurrent systems often entails finding reliable techniques for coordinating their execution, data exchange,

throughput.[8]

Theory

Concurrency theory has been an active field of research in theoretical computer science. One of the first proposals was Carl Adam Petri's seminal work on Petri nets in the early 1960s. In the years since, a wide variety of formalisms have been developed for modeling and reasoning about concurrency.

Models

A number of formalisms for modeling and understanding concurrent systems have been developed, including:[9]

Some of these models of concurrency are primarily intended to support reasoning and specification, while others can be used through the entire development cycle, including design, implementation, proof, testing and simulation of concurrent systems. Some of these are based on message passing, while others have different mechanisms for concurrency.

The proliferation of different models of concurrency has motivated some researchers to develop ways to unify these different theoretical models. For example, Lee and Sangiovanni-Vincentelli have demonstrated that a so-called "tagged-signal" model can be used to provide a common framework for defining the denotational semantics of a variety of different models of concurrency,[11] while Nielsen, Sassone, and Winskel have demonstrated that category theory can be used to provide a similar unified understanding of different models.[12]

The Concurrency Representation Theorem in the actor model provides a fairly general way to represent concurrent systems that are closed in the sense that they do not receive communications from outside. (Other concurrency systems, e.g.,

process calculi can be modeled in the actor model using a two-phase commit protocol.[13]) The mathematical denotation denoted by a closed system S is constructed increasingly better approximations from an initial behavior called ⊥S using a behavior approximating function progressionS to construct a denotation (meaning ) for S as follows:[14]

DenoteS ≡ ⊔i∈ω progressionSi(⊥S)

In this way, S can be mathematically characterized in terms of all its possible behaviors.

Logics

Various types of temporal logic[15] can be used to help reason about concurrent systems. Some of these logics, such as linear temporal logic and computation tree logic, allow assertions to be made about the sequences of states that a concurrent system can pass through. Others, such as action computational tree logic, Hennessy–Milner logic, and Lamport's temporal logic of actions, build their assertions from sequences of actions (changes in state). The principal application of these logics is in writing specifications for concurrent systems.[7]

Practice

example needed
] concurrent systems implement a form of transparent concurrency, in which concurrent computational entities may compete for and share a single resource, but the complexities of this competition and sharing are shielded from the programmer.

Because they use shared resources, concurrent systems in general[

example needed] kind of arbiter somewhere in their implementation (often in the underlying hardware), to control access to those resources. The use of arbiters introduces the possibility of indeterminacy in concurrent computation which has major implications for practice including correctness and performance. For example, arbitration introduces unbounded nondeterminism which raises issues with model checking
because it causes explosion in the state space and can even cause models to have an infinite number of states.

Some concurrent programming models include

deterministic concurrency. In these models, threads of control explicitly yield
their timeslices, either to the system or to another process.

See also

References

  1. ^
    ISBN 978-0470128725
    .
  2. ^
    ISBN 978-0123747501
    .
  3. ^
    ISBN 978-0132143011
    .
  4. ^
    ISBN 978-0070512948
    .
  5. ^
    ISBN 978-0070730205
    .
  6. ISBN 9781449335922
    .
  7. ^
    S2CID 13264261
    .
  8. ISBN 978-0-7356-5159-3
    .
  9. ISBN 978-0-07-022439-1
    .
  10. ^ Keller, Jörg; Christoph Keßler; Jesper Träff (2001). Practical PRAM Programming. John Wiley and Sons.
  11. doi:10.1109/43.736561
    .
  12. ^ Mogens Nielsen; Vladimiro Sassone; Glynn Winskel (1993). "Relationships Between Models of Concurrency". REX School/Symposium.
  13. ^ Frederick Knabe. A Distributed Protocol for Channel-Based Communication with Choice PARLE 1992.
  14. hdl:1721.1/6935. {{cite journal}}: Cite journal requires |journal= (help
    )
  15. ISBN 978-0-387-98717-0
    .

Further reading
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