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  2. Parallel computing - Wikipedia

    en.wikipedia.org/wiki/Parallel_computing

    Parallel computer systems have difficulties with caches that may store the same value in more than one location, with the possibility of incorrect program execution. These computers require a cache coherency system, which keeps track of cached values and strategically purges them, thus ensuring correct program execution.

  3. Parallel running - Wikipedia

    en.wikipedia.org/wiki/Parallel_running

    Parallel running. The old and new systems are doing the same processing and operating side by side. Parallel running is a strategy for system changeover where a new system slowly assumes the roles of the older system while both systems operate simultaneously. [1][2] This conversion takes place as the technology of the old system is outdated so ...

  4. Distributed computing - Wikipedia

    en.wikipedia.org/wiki/Distributed_computing

    Distributed computing is a field of computer science that studies distributed systems, defined as computer systems whose inter-communicating components are located on different networked computers. [ 1 ][ 2 ] The components of a distributed system communicate and coordinate their actions by passing messages to one another in order to achieve a ...

  5. Parallel voting - Wikipedia

    en.wikipedia.org/wiki/Parallel_voting

    In political science, parallel voting or superposition refers to the use of two or more electoral systems to elect different members of a legislature. More precisely, an electoral system is a superposition if it is a mixture of at least two tiers, which do not interact with each other in any way; one part of a legislature is elected using one method, while another part is elected using a ...

  6. Concurrent computing - Wikipedia

    en.wikipedia.org/wiki/Concurrent_computing

    Concurrent computing. Concurrent computing is a form of computing in which several computations are executed concurrently —during overlapping time periods—instead of sequentially— with one completing before the next starts. This is a property of a system—whether a program, computer, or a network —where there is a separate execution ...

  7. Concurrency (computer science) - Wikipedia

    en.wikipedia.org/wiki/Concurrency_(computer_science)

    Concurrency (computer science) In computer science, concurrency is the ability of different parts or units of a program, algorithm, or problem to be executed out-of-order or in partial order, without affecting the outcome. This allows for parallel execution of the concurrent units, which can significantly improve overall speed of the execution ...

  8. Parallel communication - Wikipedia

    en.wikipedia.org/wiki/Parallel_communication

    Parallel communication is and always has been widely used within integrated circuits, in peripheral buses, and in memory devices such as RAM. Computer system buses, on the other hand, have evolved over time: parallel communication was commonly used in earlier system buses, whereas serial communications are prevalent in modern computers.

  9. Parallel algorithm - Wikipedia

    en.wikipedia.org/wiki/Parallel_algorithm

    Parallel algorithm. In computer science, a parallel algorithm, as opposed to a traditional serial algorithm, is an algorithm which can do multiple operations in a given time. It has been a tradition of computer science to describe serial algorithms in abstract machine models, often the one known as random-access machine.