Logo

Vector Models for Data-Parallel Computing

Small book cover: Vector Models for Data-Parallel Computing

Vector Models for Data-Parallel Computing
by

Publisher: The MIT Press
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.

Home page url

Download or read it online for free here:
Download link
(1.3MB, PDF)

Similar books

Book cover: Greedy AlgorithmsGreedy Algorithms
by - InTech
Each chapter comprises a separate study on some optimization problem giving both an introductory look into the theory the problem comes from and some new developments invented by authors. Usually some elementary knowledge is assumed.
(10202 views)
Book cover: AlgorithmsAlgorithms
by - University of Aberdeen
This course studies computer algorithms, their construction, validation and effectiveness. A number of topics will be covered: a general introduction to the subject, the problem of sorting data sets into order, the theory of formal grammars, etc.
(10697 views)
Book cover: AlgorithmsAlgorithms
by - University of Illinois at Urbana-Champaign
These are lecture notes, homework questions, and exam questions from algorithms courses the author taught at the University of Illinois. It is assumed that the reader has mastered the material covered in the first 2 years of a typical CS curriculum.
(12031 views)
Book cover: Open Data Structures: An IntroductionOpen Data Structures: An Introduction
by - AU Press
Offered as an introduction to the field of data structures and algorithms, the book covers the implementation and analysis of data structures for sequences (lists), queues, priority queues, unordered dictionaries, ordered dictionaries, and graphs.
(10630 views)