The Art of Writing Efficient Programs: An advanced programmer’s guide to efficient hardware utilization and compiler optimizations using C++ examples
Author: Fedor G. Pikus
Publisher finelybook 出版社: Packt Publishing (22 Oct. 2021)
Language 语言: English
Print Length 页数: 464 pages
ISBN-10: 1800208111
ISBN-13: 9781800208117
Book Description
Get to grips with various performance improvement techniques such as concurrency,lock-free programming,atomic operations,parallelism,and memory management
Key Features
Understand the limitations of modern CPUs and their performance impact
Find out how you can avoid writing inefficient code and get the best optimizations from the compiler
Learn the tradeoffs and costs of writing high-performance programs
The great free lunch of “performance taking care of itself” is over. Until recently,programs got faster Author: themselves as CPUs were upgraded,but that doesn’t happen anymore. The clock frequency of new processors has almost peaked. New architectures provide small improvements to existing programs,but this only helps slightly. Processors do get larger and more powerful,but most of this new power is consumed Author: the increased number of processing cores and other “extra” computing units. To write efficient software,you now have to know how to program Author: making good use of the available computing resources,and this book will teach you how to do that.
The book covers all the major aspects of writing efficient programs,such as using CPU resources and memory efficiently,avoiding unnecessary computations,measuring performance,and how to put concurrency and multithreading to good use. You’ll also learn about compiler optimizations and how to use the programming language (C++) more efficiently. Finally,you’ll understand how design decisions impact performance.
Author: the end of this book,you’ll not only have enough knowledge of processors and compilers to write efficient programs,but you’ll also be able to understand which techniques to use and what to measure while improving performance. At its core,this book is about learning how to learn.
What you will learn
Discover how to use the hardware computing resources in your programs effectively
Understand the relationship between memory order and memory barriers
Familiarize yourself with the performance implications of different data structures and organizations
Assess the performance impact of concurrent memory accessed and how to minimize it
Discover when to use and when not to use lock-free programming techniques
Explore different ways to improve the effectiveness of compiler optimizations
Design APIs for concurrent data structures and high-performance data structures to avoid inefficiencies
