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Concurrency and Parallelism

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by Kirill Bobrov

This easy-to-read, hands-on guide demystifies concurrency concepts like threading, asynchronous programming, and parallel processing in any language.

Perplexed by concurrency? Don’t be. This engaging, fully-illustrated beginner’s guide gets you writing the kind of high-performance code your apps deserve. Inside, you’ll find thorough explanations of concurrency’s core concepts—all explained with interesting illustrations, insightful examples, and detailed techniques you can apply to your own projects.

In Grokking Concurrency you will:

  • Get up to speed with the core concepts of concurrency, asynchrony, and parallel programming
  • Learn the strengths and weaknesses of different hardware architectures
  • Improve the sequential performance characteristics of your software
  • Solve common problems for concurrent programming
  • Compose patterns into a series of practices for writing scalable systems
  • Write and implement concurrency systems that scale to any size

Discover effective concurrency practices that will help you leverage multiple cores, excel with high loads, handle terabytes of data, and continue working after hardware and software failures. The core concepts in this guide will remain eternally relevant, whether you’re building web apps, IoT systems, or handling big data.

by Robert Robey and Yuliana Zamora

Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours—or even days—of computing time.

Parallel and High Performance Computing shows you how to deliver faster run-times, greater scalability, and increased energy efficiency to your programs by mastering parallel techniques for multicore processor and GPU hardware.