Optimized Computing In C Mastering Concurrency Multithreading And Parallel Programming
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Optimized Computing in C++: Mastering Concurrency, Multithreading, and Parallel Programming
Discover the future of high-performance computing with "Optimized Computing in C++: Mastering Concurrency, Multithreading, and Parallel Programming," a comprehensive guide designed to elevate your C++ programming skills to unparalleled heights. Whether you're an intermediate programmer eager to broaden your understanding or an experienced developer aiming to optimize your applications, this book is an invaluable resource for maximizing efficiency and speed using C++. Delve into the fundamental principles of high-performance computing (HPC) and grasp the pivotal role of C++ in building scalable, robust applications. Master the intricacies of concurrency, threading, and parallel programming through well-organized chapters, rich with code snippets, practical examples, and real-world case studies. Covering essential topics from basic thread management to advanced GPU programming and MPI for distributed computing, this book spans the full spectrum of HPC in C++. Leverage modern C++ standards and the latest features to simplify concurrent programming, ensuring your applications remain fast and future-proof. Confront real-world challenges head-on with confidence as you learn to debug and profile concurrent and parallel C++ programs, optimizing them for both performance and reliability. "Optimized Computing in C++: Mastering Concurrency, Multithreading, and Parallel Programming" is an indispensable guide for programmers, researchers, and engineers, offering the tools and knowledge needed to push the boundaries of computational performance. Harness the power of C++ and revolutionize your approach to high-performance applications.
High-Performance Computing in C++
Author: Nate Phoetean
language: en
Publisher: Independently Published
Release Date: 2024-04-07
Dive into the world of high-performance computing (HPC) with "High-Performance Computing in C++: Concurrency, Multithreading, and Parallel Programming," a comprehensive guide crafted to elevate your C++ programming to new heights. Whether you're an intermediate programmer keen on expanding your knowledge or an experienced developer aiming to optimize your applications, this book offers a treasure trove of insights into leveraging C++ for unparalleled efficiency and speed. Explore the foundational concepts of HPC and understand the critical role of C++ in developing scalable and robust applications. Master the art of concurrency, threading, and parallel programming as you navigate through meticulously structured chapters, each equipped with code snippets, practical examples, and case studies. From the basics of thread management to advanced topics like GPU programming and MPI for distributed computing, this book covers the vast landscape of HPC in C++. Unlock the potential of modern C++ standards and the latest features to simplify concurrent programming, ensuring your applications are not only fast but also future-proof. Tackle real-world challenges with confidence as you learn to debug and profile concurrent and parallel C++ programs, optimizing for performance and reliability. "High-Performance Computing in C++" stands as an essential guide for programmers, researchers, and engineers, providing the tools and knowledge to push the boundaries of computational performance. Embrace the power of C++ and transform the way you think about and approach high-performance applications.
Hands-On Parallel Programming with C# 8 and .NET Core 3
Author: Shakti Tanwar
language: en
Publisher: Packt Publishing Ltd
Release Date: 2019-12-20
Enhance your enterprise application development skills by mastering parallel programming techniques in .NET and C# Key FeaturesWrite efficient, fine-grained, and scalable parallel code with C# and .NET CoreExperience how parallel programming works by building a powerful applicationLearn the fundamentals of multithreading by working with IIS and KestrelBook Description In today’s world, every CPU has a multi-core processor. However, unless your application has implemented parallel programming, it will fail to utilize the hardware’s full processing capacity. This book will show you how to write modern software on the optimized and high-performing .NET Core 3 framework using C# 8. Hands-On Parallel Programming with C# 8 and .NET Core 3 covers how to build multithreaded, concurrent, and optimized applications that harness the power of multi-core processors. Once you’ve understood the fundamentals of threading and concurrency, you’ll gain insights into the data structure in .NET Core that supports parallelism. The book will then help you perform asynchronous programming in C# and diagnose and debug parallel code effectively. You’ll also get to grips with the new Kestrel server and understand the difference between the IIS and Kestrel operating models. Finally, you’ll learn best practices such as test-driven development, and run unit tests on your parallel code. By the end of the book, you’ll have developed a deep understanding of the core concepts of concurrency and asynchrony to create responsive applications that are not CPU-intensive. What you will learnAnalyze and break down a problem statement for parallelismExplore the APM and EAP patterns and how to move legacy code to TaskApply reduction techniques to get aggregated resultsCreate PLINQ queries and study the factors that impact their performanceSolve concurrency problems caused by producer-consumer race conditionsDiscover the synchronization primitives available in .NET CoreUnderstand how the threading model works with IIS and KestrelFind out how you can make the most of server resourcesWho this book is for If you want to learn how task parallelism is used to build robust and scalable enterprise architecture, this book is for you. Whether you are a beginner to parallelism in C# or an experienced architect, you’ll find this book useful to gain insights into the different threading models supported in .NET Standard and .NET Core. Prior knowledge of C# is required to understand the concepts covered in this book.