This book covers the breadth of Haskell's diverse selection of programming APIs for concurrent and parallel programming. It is split into two parts. The first part, on parallel programming, covers the techniques for using multiple processors to speed up CPU-intensive computations, including methods for using parallelism in both idiomatic Haskell and numerical array-based algori...(展开全部)

This book covers the breadth of Haskell's diverse selection of programming APIs for concurrent and parallel programming. It is split into two parts. The first part, on parallel programming, covers the techniques for using multiple processors to speed up CPU-intensive computations, including methods for using parallelism in both idiomatic Haskell and numerical array-based algori...(展开全部)

Editorial Reviews Product Description Foundations of Multithreaded, Parallel, and Distributed Programming covers-and then applies-the core concepts and techniques needed for an introductory course in this topic. The book emphasizes the practice and application of parallel systems, using real-world examples throughout. Greg Andrews teaches the fundamental concepts of multithread...(展开全部)

Designed for undergraduate/graduate-level parallel programming courses. This nontheoretical, highly accessible text-which is linked to real parallel programming software-covers the techniques of parallel programming in a practical manner that enables students to write and evaluate their parallel programs. Supported by the National Science Foundation and exhaustively class-teste...(展开全部)

Haskell is one of the leading languages for teaching functional programming, enabling students to write simpler and cleaner code, and to learn how to structure and reason about programs. This introduction is ideal for beginners: it requires no previous programming experience and all concepts are explained from first principles via carefully chosen examples. Each chapter include...(展开全部)

http://www.faculty.idc.ac.il/gadi/book.htm Table of Contents Preface Key Features 1. Introduction 2. Mutual exclusion using atomic registers: basic topics 3. Mutual exclusion using atomic registers: advanced topics 4. Blocking and non-blocking synchronization 5. Barrier synchronization 6. The l-exclusion problem 7. Multiple resources 8. Classical synchronization problems 9. Con...(展开全部)

http://www.faculty.idc.ac.il/gadi/book.htm Table of Contents Preface Key Features 1. Introduction 2. Mutual exclusion using atomic registers: basic topics 3. Mutual exclusion using atomic registers: advanced topics 4. Blocking and non-blocking synchronization 5. Barrier synchronization 6. The l-exclusion problem 7. Multiple resources 8. Classical synchronization problems 9. Con...(展开全部)

The Parallel Programming Guide for Every Software Developer From grids and clusters to next-generation game consoles, parallel computing is going mainstream. Innovations such as Hyper-Threading Technology, HyperTransport Technology, and multicore microprocessors from IBM, Intel, and Sun are accelerating the movement's growth. Only one thing is missing: programmers with the ski...(展开全部)

Concurrent Programming in ML focuses on the practical use of concurrency to implement naturally concurrent applications. In addition to a tutorial introduction to programming in Concurrent ML (CML), the book presents three extended examples using CML for practical systems programming: a parallel software build system, a simple concurrent window manager, and an implementation of...(展开全部)