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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

What should we understand from all of this? To produce software that operates at the edge of the machine's ability, you must understand some important things. Firstly, if you aren't measuring your program, you're only guessing. Measuring runtime, as criterion does, is important but a coarse insight. Where is my program spending its time? is a question the Valgrind suite and perf can answer, but you've got to have benchmarks in place to contextualize your questions. Measuring and then validating behavior is also an important chunk of this work, which is why we spent so much time on QuickCheck and AFL. Secondly, have a goal in mind. In this chapter, we've made the speed of standard library HashMap our goal but, in an actual code base, there's always going to be places to polish and improve. What matters is knowing what needs to happen to...

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