Vector Models for Data-Parallel Computing
by Guy Blelloch
Publisher: The MIT Press 1990
ISBN/ASIN: 026202313X
ISBN-13: 9780262023139
Number of pages: 268
Description:
Vector Models for Data-Parallel Computing describes a model of parallelism that extends and formalizes the Data-Parallel model on which the Connection Machine and other supercomputers are based. It presents many algorithms based on the model, ranging from graph algorithms to numerical algorithms, and argues that data-parallel models are not only practical and can be applied to a surprisingly wide variety of problems, they are also well suited for very-high-level languages and lead to a concise and clear description of algorithms and their complexity.
Download or read it online for free here:
Download link
(1.3MB, PDF)
Similar books
Lecture Notes on Bucket Algorithmsby Luc Devroye - Birkhauser
In these lecture notes, we attempt to explain the connection between the expected time of various bucket algorithms and the distribution of the data. The results are illustrated on standard searching, sorting and selection problems.
(6755 views)
Data Structures and Algorithms: Annotated Reference with Examplesby Granville Barnett, Luca Del Tongo - DotNetSlackers
The book provides implementations of common and uncommon algorithms in pseudocode which is language independent and provides for easy porting to most programming languages. We assume that the reader is familiar with the object oriented concepts.
(11907 views)
LEDA: A Platform for Combinatorial and Geometric Computingby K. Mehlhorn, St. Näher - Cambridge University Press
The book treats the architecture, the implementation, and the use of the LEDA system. LEDA is a library of efficient data types and algorithms and a platform for combinatorial and geometric computing, written in C++ and freely available worldwide.
(5054 views)
Design and Analysis of Algorithmsby Herbert Edelsbrunner - Duke University
The main topics to be covered in this course are: Design Techniques; Searching; Prioritizing; Graph Algorithms; Topological Algorithms; Geometric Algorithms; NP-completeness. The emphasis will be on algorithm design and on algorithm analysis.
(12247 views)