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C++ High Performance

C++ High Performance

By : Björn Andrist, Sehr
4.4 (24)
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C++ High Performance

C++ High Performance

4.4 (24)
By: Björn Andrist, Sehr

Overview of this book

C++ High Performance, Second Edition guides you through optimizing the performance of your C++ apps. This allows them to run faster and consume fewer resources on the device they're running on without compromising the readability of your codebase. The book begins by introducing the C++ language and some of its modern concepts in brief. Once you are familiar with the fundamentals, you will be ready to measure, identify, and eradicate bottlenecks in your C++ codebase. By following this process, you will gradually improve your style of writing code. The book then explores data structure optimization, memory management, and how it can be used efficiently concerning CPU caches. After laying the foundation, the book trains you to leverage algorithms, ranges, and containers from the standard library to achieve faster execution, write readable code, and use customized iterators. It provides hands-on examples of C++ metaprogramming, coroutines, reflection to reduce boilerplate code, proxy objects to perform optimizations under the hood, concurrent programming, and lock-free data structures. The book concludes with an overview of parallel algorithms. By the end of this book, you will have the ability to use every tool as needed to boost the efficiency of your C++ projects.
Table of Contents (17 chapters)
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15
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16
Index

Parallel Algorithms

The previous chapters have focused on how to introduce concurrency and asynchrony in our programs by using threads and coroutines. This chapter focuses on parallel execution of independent tasks, which is related to but distinct from concurrency.

In earlier chapters, I stressed that I prefer standard library algorithms over handcrafted for-loops. In this chapter, you will see some great advantages of using standard library algorithms with the execution policies introduced with C++17.

This chapter is not going to go in depth into theories of parallelizing algorithms or parallel programming in general, as these subjects are far too complex to cover in a single chapter. Also, there are a multitude of books on this subject. Instead, this chapter is going to take a more practical approach and demonstrate how to extend a current C++ code base to utilize parallelism while preserving the readability of the code base. In other words, we do not want the parallelism...

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