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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 .
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 ...
As a result, it is very important to make the parallel BFS on shared memory load-balanced. Moreover, exploring the data-locality can also speed up parallel process. Many parallel BFS algorithms on shared memory can be divided into two types: container centric approaches and vertex centric approaches. [3]
The simple parallel merge sort of CLRS is a fork–join algorithm. [5]mergesort(A, lo, hi): if lo < hi: // at least one element of input mid = ⌊lo + (hi - lo) / 2⌋ fork mergesort(A, lo, mid) // process (potentially) in parallel with main task mergesort(A, mid, hi) // main task handles second recursion join merge(A, lo, mid, hi)
In computing, a parallel programming model is an abstraction of parallel computer architecture, with which it is convenient to express algorithms and their composition in programs. The value of a programming model can be judged on its generality : how well a range of different problems can be expressed for a variety of different architectures ...
Selim G. Akl (Ph.D., McGill University, born 1978) is a professor at Queen's University in the Queen's School of Computing, where he leads the Parallel and Unconventional Computation Group. [1] His research interests are primarily in the area of algorithm design and analysis, in particular for problems in parallel computing and unconventional ...
"Embarrassingly" is used here to refer to parallelization problems which are "embarrassingly easy". [4] The term may imply embarrassment on the part of developers or compilers: "Because so many important problems remain unsolved mainly due to their intrinsic computational complexity, it would be embarrassing not to develop parallel implementations of polynomial homotopy continuation methods."
Parareal is a parallel algorithm from numerical analysis and used for the solution of initial value problems. [1] It was introduced in 2001 by Lions, Maday and Turinici.Since then, it has become one of the most widely studied parallel-in-time integration methods.