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An introduction to parallel algorithms
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This book provides an introduction to the design and analysis of parallel algorithms, with the emphasis on the application of the PRAM model of parallel computation, with all its variants, to algorithm analysis.Abstract:
Written by an authority in the field, this book provides an introduction to the design and analysis of parallel algorithms. The emphasis is on the application of the PRAM (parallel random access machine) model of parallel computation, with all its variants, to algorithm analysis. Special attention is given to the selection of relevant data structures and to algorithm design principles that have proved to be useful. Features *Uses PRAM (parallel random access machine) as the model for parallel computation. *Covers all essential classes of parallel algorithms. *Rich exercise sets. *Written by a highly respected author within the field. 0201548569B04062001read more
Citations
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Proceedings ArticleDOI
MVTsim: software simulator for multicore on chip parallel computer architectures
TL;DR: A software based simulator MVTsim for multi-core on chip parallel computers oriented towards supporting a very fine-grained moving threads approach and some initial results concerning running actual programs with the simulator are given.
Book ChapterDOI
Communication Efficient Parallel Searching
TL;DR: Deterministic and randomized multisearch algorithms that are very communication efficient are described that are developed for abstract parallel models like the PRAM.
Journal ArticleDOI
A new algorithm for computing orthogonal polynomials
TL;DR: The fast Fourier transform completes the connection given by Draux between the three-term recurrence relationship and the Euclidian algorithm and presents an algorithm for computing orthogonal polynomials.
Multiple bus networks for binary-tree algorithms
TL;DR: It is shown that optimal-time, degree-2, binary-tree MBNs require no less area than a balanced tree topology even though such MBNs can reuse buses over various steps of the algorithm.
Dissertation
View-Oriented Parallel Programming and its Performance Evaluation on Multicore Architectures
TL;DR: Wang et al. as discussed by the authors proposed a data race prevention scheme in the View-Oriented Parallel Programming (VOPP) paradigm, which can prevent data race through the memory protection mechanism while keeping the extra overhead low.
References
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Book
Introduction to Parallel Algorithms and Architectures: Arrays, Trees, Hypercubes
TL;DR: This chapter discusses sorting on a Linear Array with a Systolic and Semisystolic Model of Computation, which automates the very labor-intensive and therefore time-heavy and expensive process of manually sorting arrays.
Book
Computer Architecture and Parallel Processing
Kai Hwang,Faye A. Briggs +1 more
TL;DR: The authors have divided the use of computers into the following four levels of sophistication: data processing, information processing, knowledge processing, and intelligence processing.
Journal ArticleDOI
Data parallel algorithms
W. Daniel Hillis,Guy L. Steele +1 more
TL;DR: The success of data parallel algorithms—even on problems that at first glance seem inherently serial—suggests that this style of programming has much wider applicability than was previously thought.
Proceedings ArticleDOI
Parallelism in random access machines
Steven Fortune,James C. Wyllie +1 more
TL;DR: A model of computation based on random access machines operating in parallel and sharing a common memory is presented and can accept in polynomial time exactly the sets accepted by nondeterministic exponential time bounded Turing machines.
Journal ArticleDOI
The Parallel Evaluation of General Arithmetic Expressions
TL;DR: It is shown that arithmetic expressions with n ≥ 1 variables and constants; operations of addition, multiplication, and division; and any depth of parenthesis nesting can be evaluated in time 4 log 2 + 10(n - 1) using processors which can independently perform arithmetic operations in unit time.