Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms
|Format||Paper book / ebook (PDF)|
This is an optimization manual for advanced C++ programmers. This book are not for beginners.
- The choice of platform and operating system.
- Choice of compiler and framework.
- Finding performance bottlenecks.
- The efficiency of different C++ constructs.
- Multi-core systems.
- Parallelization with vector operations.
- CPU dispatching. Efficient container class templates.
by Carlos Oliveira
Master the features of C++ that are frequently used to write financial software for options and derivatives, including the STL, templates, functional programming, and numerical libraries. This book also covers new features introduced in C++20 and other recent standard releases: modules, concepts, spaceship operators, and smart pointers. Y...
Price: $34.37 | Publisher: Apress | Release: 2020
by Ivan Cukic
Functional Programming in C++ teaches developers the practical side of functional programming and the tools that C++ provides to develop software in the functional style. This in-depth guide is full of useful diagrams that help you understand FP concepts and begin to think functionally.Well-written code is easier to test and reuse, simple...
Price: $39.99 | Publisher: Manning | Release: 2018
by Iggy Krajci, Darren Cummings
Android on x86: an Introduction to Optimizing for Intel Architecture serves two main purposes. First, it makes the case for adapting your applications onto Intel's x86 architecture, including discussions of the business potential, the changing landscape of the Android marketplace, and the unique challenges and opportunities that arise fr...
Price: $12.95 | Publisher: Apress | Release: 2014
by Timothy Masters
Discover the essential building blocks of the most common forms of deep belief networks. At each step this book provides intuitive motivation, a summary of the most important equations relevant to the topic, and concludes with highly commented code for threaded computation on modern CPUs as well as massive parallel processing on computers...
Price: $34.99 | Publisher: Apress | Release: 2018
by Timothy Masters
Discover the essential building blocks of a common and powerful form of deep belief net: the autoencoder. You'll take this topic beyond current usage by extending it to the complex domain for signal and image processing applications. Deep Belief Nets in C++ and CUDA C: Volume 2 also covers several algorithms for preprocessing time series ...
Price: $31.64 | Publisher: Apress | Release: 2018
by Norman Dunbar
It's not enough to just build your Arduino projects; it's time to actually learn how things work! This book will take you through not only how to use the Arduino software and hardware, but more importantly show you how it all works and how the software relates to the hardware.Arduino Software Internals takes a detailed dive into the Ardui...
Price: $30.86 | Publisher: Apress | Release: 2020
by Timothy Masters
Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates, or extracting useful features from measured variables.As a serious data miner you will often be faced with thousands of candidate features for your prediction or classification application, ...
Price: $32.58 | Publisher: Apress | Release: 2020
by Alonso Pena, Ph.D.
This book will introduce you to the key mathematical models used to price financial derivatives, as well as the implementation of main numerical models used to solve them. In particular, equity, currency, interest rates, and credit derivatives are discussed. In the first part of the book, the main mathematical models used in the world of ...
Price: $16.99 | Publisher: Packt Publishing | Release: 2014