Concurrent programming algorithms principles and foundations pdf

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concurrent programming algorithms principles and foundations pdf

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It seems that you're in Germany. We have a dedicated site for Germany. This book is devoted to the most difficult part of concurrent programming, namely synchronization concepts, techniques and principles when the cooperating entities are asynchronous, communicate through a shared memory, and may experience failures. Synchronization is no longer a set of tricks but, due to research results in recent decades, it relies today on sane scientific foundations as explained in this book. In this book the author explains synchronization and the implementation of concurrent objects, presenting in a uniform and comprehensive way the major theoretical and practical results of the past 30 years. Among the key features of the book are a new look at lock-based synchronization mutual exclusion, semaphores, monitors, path expressions ; an introduction to the atomicity consistency criterion and its properties and a specific chapter on transactional memory; an introduction to mutex-freedom and associated progress conditions such as obstruction-freedom and wait-freedom; a presentation of Lamport's hierarchy of safe, regular and atomic registers and associated wait-free constructions; a description of numerous wait-free constructions of concurrent objects queues, stacks, weak counters, snapshot objects, renaming objects, etc.
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The 7 deadly sins of concurrent programming by Sarah Zebian & Taoufik Benayad

Michel Raynal

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Algorithms, Principles, and Foundations

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Schedule C1 — Computer Science. Schedule C1 — Mathematics and Computer Science. This course is largely independent of the second year Concurrent Programming course, although there are clearly strong links between the two. Concurrent Programming is based upon the message-passing paradigm; much of the emphasis is on using concurrency as a way of structuring large programs. This course will be based upon low-level concurrency primitives, such as compare-and-swap; the emphasis will be on speed. Learning outcomes After studying this course, students will:. Familiarity with standard programming techniques e.

5 thoughts on “Concurrent Programming: Algorithms, Principles, and Foundations | SpringerLink

  1. The advent of new architectures and computing platforms means that synchronization and concurrent computing are among the most important topics in computing science.

  2. Concurrent Programming: Algorithms, Principles, and Foundations. Algorithms The Transactional Memory Approach. Front Matter. Pages PDF.

  3. Concurrent Programming: Algorithms, Principles, and Foundations | Michel Raynal | Springer

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