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Hands-On Concurrency with Rust

You're reading from   Hands-On Concurrency with Rust Confidently build memory-safe, parallel, and efficient software in Rust

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788399975
Length 462 pages
Edition 1st Edition
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Author (1):
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Brian L. Troutwine Brian L. Troutwine
Author Profile Icon Brian L. Troutwine
Brian L. Troutwine
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Table of Contents (12) Chapters Close

Preface 1. Preliminaries – Machine Architecture and Getting Started with Rust FREE CHAPTER 2. Sequential Rust Performance and Testing 3. The Rust Memory Model – Ownership, References and Manipulation 4. Sync and Send – the Foundation of Rust Concurrency 5. Locks – Mutex, Condvar, Barriers and RWLock 6. Atomics – the Primitives of Synchronization 7. Atomics – Safely Reclaiming Memory 8. High-Level Parallelism – Threadpools, Parallel Iterators and Processes 9. FFI and Embedding – Combining Rust and Other Languages 10. Futurism – Near-Term Rust 11. Other Books You May Enjoy

Linearizability


Up till this point in the book, we've avoided dipping into the formal terms for specifying concurrent systems, because while they are very useful for discussing ideas and reasoning, they can be difficult to learn absent some context. Now that we have context, it's time.

How do we decide whether a concurrent algorithm is correct? How, if we're game for the algorithm, do we analyze an implementation and reason about it's correctness? To this point, we've used techniques to demonstrate fitness-for-purpose of an implementation through randomized and repeat testing as well as simulation, in the case of helgrind. We will continue to do so. In fact, if that's all we did, demonstrating fitness-for-purpose of implementations, then we'd be in pretty good condition. The working programmer will find themselves inventing more often than not, taking an algorithm and adapting it—as was seen in the previous chapter's discussion of hopper—to fit some novel domain. It's easy enough to do this...

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