Vector Models for Data-Parallel Computing
by Guy Blelloch
Publisher: The MIT Press 1990
Number of pages: 268
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:
by Donald E. Knuth - Addison-Wesley Professional
This work on the analysis of algorithms has long been recognized as the definitive description of classical computer science, arguably the most influential work ever written on computer programming. Volume 4 covers Combinatorial Algorithms.
by Pat Morin - 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.
by Allen B. Downey - Green Tea Press
This book is intended for college students in computer science and related fields. The book also presents basic aspects of software engineering practice, including version control and unit testing. Each chapter ends with an exercises.
by 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.