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  2. Parallel algorithm - Wikipedia

    en.wikipedia.org/wiki/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 .

  3. Analysis of parallel algorithms - Wikipedia

    en.wikipedia.org/.../Analysis_of_parallel_algorithms

    In many respects, analysis of parallel algorithms is similar to the analysis of sequential algorithms, but is generally more involved because one must reason about the behavior of multiple cooperating threads of execution. One of the primary goals of parallel analysis is to understand how a parallel algorithm's use of resources (speed, space ...

  4. Distributed tree search - Wikipedia

    en.wikipedia.org/wiki/Distributed_tree_search

    Distributed tree search (DTS) algorithm is a class of algorithms for searching values in an efficient and distributed manner.Their purpose is to iterate through a tree by working along multiple branches in parallel and merging the results of each branch into one common solution, in order to minimize time spent searching for a value in a tree-like data structure.

  5. Distributed algorithm - Wikipedia

    en.wikipedia.org/wiki/Distributed_algorithm

    A distributed algorithm is an algorithm designed to run on computer hardware constructed from interconnected processors. Distributed algorithms are used in different application areas of distributed computing , such as telecommunications , scientific computing , distributed information processing , and real-time process control .

  6. Algorithmic skeleton - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_skeleton

    In computing, algorithmic skeletons, or parallelism patterns, are a high-level parallel programming model for parallel and distributed computing.. Algorithmic skeletons take advantage of common programming patterns to hide the complexity of parallel and distributed applications.

  7. Collective operation - Wikipedia

    en.wikipedia.org/wiki/Collective_operation

    Collective operations are building blocks for interaction patterns, that are often used in SPMD algorithms in the parallel programming context. Hence, there is an interest in efficient realizations of these operations. A realization of the collective operations is provided by the Message Passing Interface [1] (MPI).

  8. Computational complexity - Wikipedia

    en.wikipedia.org/wiki/Computational_complexity

    Typically, in parallel computing the data transmission between processors is very fast, while, in distributed computing, the data transmission is done through a network and is therefore much slower. The time needed for a computation on N processors is at least the quotient by N of the time needed by a single processor.

  9. Gang scheduling - Wikipedia

    en.wikipedia.org/wiki/Gang_scheduling

    In computer science, gang scheduling is a scheduling algorithm for parallel systems that schedules related threads or processes to run simultaneously on different processors. Usually these will be threads all belonging to the same process, but they may also be from different processes, where the processes could have a producer-consumer ...