The book focuses on optimization for clusters consisting of the Intel® Xeon processor, but the optimization methodologies also apply to the Intel® Xeon Phi™ coprocessor and heterogeneous clusters mixing both architectures. Besides the tutorial and reference content, the authors address and refute many myths and misconceptions surrounding the topic. The text is augmented and enriched by descriptions of real-life situations.
You'll learn how to create containers, and how iterators are used with them to access, modify, and extend the data elements they contain. You'll also learn about stream iterators that can transfer data between containers and streams, including file streams. The function templates that define algorithms are explained in detail, and you'll learn how to pass function objects or lambda expressions to them to customize their behavior. Many working examples are included to demonstrate how to apply the algorithms with different types of containers.
After reading this book, you will understand the scope and power of the templates that the C++ 14 Standard Library includes and how these can greatly reduce the coding and development time for many applications. You'll be able to combine the class and function templates to great effect in dealing with real-world problems.
The templates in the Standard Library provide you as a C++ programmer with a comprehensive set of efficiently implemented generic programming tools that you can use for most types of application.
How to use Standard Library templates with your C++ applications.Understand the different types of containers that are available and what they are used for.How to define your own class types to meet the requirements of use with containers.What iterators are, the characteristics of the various types of iterators, and how they allow algorithms to be applied to the data in different types of container.How you can define your own iterator types.What the templates that define algorithms do, and how you apply them to data stored in containers and arrays.How to access hardware clocks and use them for timing execution.How to use the templates available for compute-intensive numerical data processing.How to create and use pseudo-random number generators with distribution objects.
Advanced Topics In C teaches concepts that any budding programmer should know. You'll delve into topics such as sorting, searching, merging, recursion, random numbers and simulation, among others. You will increase the range of problems you can solve when you learn how to manipulate versatile and popular data structures such as binary trees and hash tables.
This book assumes you have a working knowledge of basic programming concepts such as variables, constants, assignment, selection (if..else) and looping (while, for). It also assumes you are comfortable with writing functions and working with arrays. If you study this book carefully and do the exercises conscientiously, you would become a better and more agile programmer, more prepared to code today's applications (such as the Internet of Things) in C.
C++ can be a complicated language. Writing even the most straight-forward of programs requires you to understand many disparate aspects of the language and how they interact with one another. C++ doesn't lend itself to neat compartmentalization the way other languages do. Rather than baffle you with complex chapters explaining functions, classes and statements in isolation we’ll focus on teaching you how to achieve results. By learning a little bit of this and a little of that you’ll soon have amassed enough knowledge to be writing non-trivial programs and will have built a solid foundation of experience that puts those previously baffling concepts into context.
In this fully-revised second edition of Exploring C++, you’ll learn how to use the standard library early in the book. Next, you’ll learn to work with operators, objects and data-sources in increasingly realistic situations. Finally, you’ll start putting the pieces together to create sophisticated programs of your own design confident that you’ve built a firm base of experience from which to grow.
Dr. Alexander Supalov created the Intel Cluster Tools product line, including the Intel MP Library that he designed and led between 2003 and 2015. He invented the common MPICH ABI and also guided Intel efforts in the MPI Forum during the development of the MPI-2.1, MPI-2.2, and MPI-3 standards. Before that, Alexander designed new finite-element mesh-generation methods, contributing to the PARMACS and PARASOL interfaces, and developed the first full MPI-2 and IMPI implementations in the world. He graduated from the Moscow Institute of Physics and Technology in 1990, and earned his PhD in applied mathematics at the Institute of Numerical Mathematics of the Russian Academy of Sciences in 1995. Alexander holds 26 patents (more pending worldwide).
You Will Learn Python!
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In Learn Python the Hard Way, Third Edition, you'll learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you'll learn how software works; what good programs look like; how to read, write, and think about code; and how to find and fix your mistakes using tricks professional programmers use. Most importantly, you'll learn the following, which you need to start writing excellent Python software of your own:Installing a complete Python environment Organizing and writing code Basic mathematics Variables Strings and text Interacting with users Working with files Looping and logic Data structures using lists and dictionaries Program design Object-oriented programming Inheritance and composition Modules, classes, and objects Python packaging Debugging Automated testing Basic game development Basic web development
It'll be hard at first. But soon, you'll just get it-and that will feel great!
This tutorial will reward you for every minute you put into it. Soon, you'll know one of the world's most powerful, popular programming languages. You'll be a Python programmer.
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