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An introduction to parallel algorithms

TLDR
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. 0201548569B04062001

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Citations
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Journal ArticleDOI

On parallel recognition of cographs

TL;DR: A known parallel cograph-recognition algorithm proposed by Nikolopoulos and Palios is modified and a new analysis of the algorithm is provided, which improves upon the previously best known result, which took O(log^2n) time using O(n+mlogn) processors on an EREW PRAM.
Dissertation

Multi-processor based heuristic for multidimensional multiple-choise knapsack problem

TL;DR: In this paper, the authors propose a novel approach to solve the problem of gender discrimination in the workplace, and propose a solution to gender discrimination.... 1 Chapter 1.
Proceedings ArticleDOI

Coping with sparse inputs on enhanced meshes-semigroup computation with COMMON CRCW buses

TL;DR: The main result is an O(k/sup 1/4 /log/sup 2/k) time algorithm that requires a composition of several data movement and compaction techniques which seem to be of general use for solving problems with sparse inputs scattered on the mesh.
DissertationDOI

Efficient parallel computation on multiprocessors with optical interconnection networks

TL;DR: In this paper , the authors studied the performance of the linear array with reconfigurable pipelined bus system (LARPBS) model and provided a set of basic computation operations.
Book ChapterDOI

Parallel algorithms and complexity

TL;DR: This chapter deals with the next stage of parallel algorithms, which are needed when standard sequential algorithms don’t allow sufficient parallelism, then parallel algorithms based on new design principles are needed.
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, +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

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

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.