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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
Revisiting a BSP/CGM transitive closure algorithm
TL;DR: The algorithm was implemented and the results show the efficiency and scalability of the presented algorithm and compare favorably with other parallel implementations.
Book ChapterDOI
Solving Cheap Graph Problems an Meshes
Jop F. Sibeyn,Michael Kaufmann +1 more
TL;DR: In this article, the authors present an algorithm for finding the connected components, constructing a minimum spanning tree, and finding a path between a pair of vertices in O(n) time on a graph with n vertices.
Concurrent Algorithms and Data Structures for Many-Core Processors
TL;DR: This thesis presents the first efficient design of Quicksort for graphics processors and shows that it performs well in comparison with other available sorting methods, and present the first application of software transactional memory to graphics processors.
Posted Content
Straight--Line Programs in Geometric Elimination Theory
TL;DR: In this article, the authors present a method for solving symbolically zero-dimensional polynomial equation systems in the affine and toric case using arithmetic networks and straight-line programs.
Book ChapterDOI
A Theoretical Application of Feedback Guided Dynamic Loop Scheduling
TL;DR: The feedback-guided dynamic loop scheduling (FGDLS) algorithm as mentioned in this paper uses a feedback mechanism, based on measured execution times, to schedule a parallel loop within a sequential outer loop.
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.