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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

Approaches to memory reclamation

In the discussion that follows, the three techniques are laid out roughly in order of their speed, slowest to fastest, as well as their difficulty, easiest to hardest. You should not be discouraged—you are now at one of the forefronts of the software engineering world. Welcome. Go boldly.

Reference counting

Reference-counting memory reclamation associates a piece of protected data with an atomic counter. Every thread reading or writing to that protected data increases the counter on acquisition and decreases the counter on de-acquisition. The thread to decrease the counter and find it as zero is the last to hold the data and may either mark the data as available for reclamation or deallocate...

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