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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

Embedding Rust


So far, we've seen how to embed C and Lua into Rust. But, what if you want to combine Rust into other programming languages? Doing so is a very handy technique for improving runtime performance in interpreted languages, making memory-safe extensions where once you might have been using C or C++. If your target high-level language has difficulty with concurrency embedding, Rust is a further win. Python programs suffer in this regard—at least those implemented on CPython or PyPy—because of the Global Interpreter Lock, an internal mutex that locks objects' bytecode. Offloading computation of large blocks of data into a Rust + Rayon extension, for example, can be both straightforward to program and improve computation speed.

Well, great. How do we make this sort of thing happen? Rust's approach is simple: if you can embed C, you can embed Rust.

Into C

Let's embed some Rust into C. The quantiles library (https://crates.io/crates/quantiles)—discussed in Chapter 4, Sync and Send – the...

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