EBOOK
About
Write code that scales across CPU registers, multi-core, and machine clusters
Key Features
Explore concurrent programming in C++
Identify memory management problems
Use SIMD and STL containers for performance improvement
C++ is a highly portable language and can be used to write both large-scale applications and performance-critical code. It has evolved over the last few years to become a modern and expressive language. This book will guide you through optimizing the performance of your C++ apps by allowing them to run faster and consume fewer resources on the device they're running on without compromising the readability of your code base.
The book begins by helping you measure and identify bottlenecks in a C++ code base. It then moves on by teaching you how to use modern C++ constructs and techniques. You'll see how this affects the way you write code. Next, you'll see the importance of data structure optimization and memory management, and how it can be used efficiently with respect to CPU caches. After that, you'll see how STL algorithm and composable Range V3 should be used to both achieve faster execution and more readable code, followed by how to use STL containers and how to write your own specialized iterators.
Moving on, you'll get hands-on experience in making use of modern C++ metaprogramming and reflection to reduce boilerplate code as well as in working with proxy objects to perform optimizations under the hood. After that, you'll learn concurrent programming and understand lock-free data structures. The book ends with an overview of parallel algorithms using STL execution policies, Boost Compute, and OpenCL to utilize both the CPU and the GPU.
What you will learn
Benefits of modern C++ constructs and techniques
Identify hardware bottlenecks, such as CPU cache misses, to boost performance
Write specialized data structures for performance-critical code
Use modern metaprogramming techniques to reduce runtime calculations
Achieve efficient memory management using custom memory allocators
Reduce boilerplate code using reflection techniques
Reap the benefits of lock-free concurrent programming
Perform under-the-hood optimizations with preserved readability using proxy objects
Gain insights into subtle optimizations used by STL algorithms
Utilize the Range V3 library for expressive C++ code
Parallelize your code over CPU and GPU, without compromising readability
If you're a C++ developer looking to improve the speed of your code or simply wanting to take your skills up to the next level, then this book is perfect for you.
Key Features
Explore concurrent programming in C++
Identify memory management problems
Use SIMD and STL containers for performance improvement
C++ is a highly portable language and can be used to write both large-scale applications and performance-critical code. It has evolved over the last few years to become a modern and expressive language. This book will guide you through optimizing the performance of your C++ apps by allowing them to run faster and consume fewer resources on the device they're running on without compromising the readability of your code base.
The book begins by helping you measure and identify bottlenecks in a C++ code base. It then moves on by teaching you how to use modern C++ constructs and techniques. You'll see how this affects the way you write code. Next, you'll see the importance of data structure optimization and memory management, and how it can be used efficiently with respect to CPU caches. After that, you'll see how STL algorithm and composable Range V3 should be used to both achieve faster execution and more readable code, followed by how to use STL containers and how to write your own specialized iterators.
Moving on, you'll get hands-on experience in making use of modern C++ metaprogramming and reflection to reduce boilerplate code as well as in working with proxy objects to perform optimizations under the hood. After that, you'll learn concurrent programming and understand lock-free data structures. The book ends with an overview of parallel algorithms using STL execution policies, Boost Compute, and OpenCL to utilize both the CPU and the GPU.
What you will learn
Benefits of modern C++ constructs and techniques
Identify hardware bottlenecks, such as CPU cache misses, to boost performance
Write specialized data structures for performance-critical code
Use modern metaprogramming techniques to reduce runtime calculations
Achieve efficient memory management using custom memory allocators
Reduce boilerplate code using reflection techniques
Reap the benefits of lock-free concurrent programming
Perform under-the-hood optimizations with preserved readability using proxy objects
Gain insights into subtle optimizations used by STL algorithms
Utilize the Range V3 library for expressive C++ code
Parallelize your code over CPU and GPU, without compromising readability
If you're a C++ developer looking to improve the speed of your code or simply wanting to take your skills up to the next level, then this book is perfect for you.