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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

Summary


In this chapter, we set the lower-level details of concurrency in Rust as a foundation. We discussed thread pools, which, it turns out, we had all the pieces in-hand from previous chapters, to understand a fairly sophisticated one. Then we looked into rayon and discovered that we could also understand an extremely sophisticated threadpool, hidden behind the type system to enable data parallelism in the programming model. We discussed architectural concerns with the thread-per-connection model and the challenges of splitting small datasets up into data parallel iterators. Finally, we did a walkthrough of a rayon and multi-processing-based genetics algorithm project. The std::process interface is lean compared to that exposed by some operating systems, but well-thought-out and quite useful, as demonstrated in the feruscore project that closed out the chapter. We'll pick up feruscore in the next chapter when we integrate C code into it, in lieu of calling out to a process.

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