A Practical Approach To High Performance Computing
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A Practical Approach to High-Performance Computing
The book discusses the fundamentals of high-performance computing. The authors combine visualization, comprehensibility, and strictness in their material presentation, and thus influence the reader towards practical application and learning how to solve real computing problems. They address both key approaches to programming modern computing systems: multithreading-based parallelizing in shared memory systems, and applying message-passing technologies in distributed systems. The book is suitable for undergraduate and graduate students, and for researchers and practitioners engaged with high-performance computing systems. Each chapter begins with a theoretical part, where the relevant terminology is introduced along with the basic theoretical results and methods of parallel programming, and concludes with a list of test questions and problems of varying difficulty. The authors include many solutions and hints, and often sample code.
High-Performance Computing in Finance
High-Performance Computing (HPC) delivers higher computational performance to solve problems in science, engineering and finance. There are various HPC resources available for different needs, ranging from cloud computing– that can be used without much expertise and expense – to more tailored hardware, such as Field-Programmable Gate Arrays (FPGAs) or D-Wave’s quantum computer systems. High-Performance Computing in Finance is the first book that provides a state-of-the-art introduction to HPC for finance, capturing both academically and practically relevant problems.
Mastering Software Optimization: The Ultimate Guide for High-Performance Computing
Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-04-14
In the realm of high-performance computing (HPC), where speed and efficiency reign supreme, software optimization is the key to unlocking the full potential of these powerful machines. "Mastering Software Optimization: The Ultimate Guide for High-Performance Computing" is a comprehensive guide that empowers programmers to write high-performance software that runs efficiently on HPC systems. With a focus on practical applications, this book takes readers on a journey through the world of software optimization, covering a wide range of topics, from the fundamentals to advanced techniques. Readers will learn how to identify performance bottlenecks, analyze and profile their code, and apply optimization techniques to improve performance on a variety of HPC architectures, including single-processor systems, multicore processors, and GPU-accelerated systems. Beyond performance optimization, this book delves into essential considerations such as energy efficiency, security, reliability, and maintainability. It explores the delicate balance between performance and these other important factors, helping readers make informed decisions and develop software that meets the demands of HPC environments. Written in a clear and engaging style, "Mastering Software Optimization" is an invaluable resource for HPC programmers of all levels. With its comprehensive coverage of optimization techniques and real-world examples, this book is the ultimate guide to writing high-performance software that runs efficiently on HPC systems. If you are a programmer looking to unlock the full potential of your HPC software, "Mastering Software Optimization" is the book for you. With its practical approach and in-depth coverage, this book will help you write software that runs faster, consumes less energy, and is more secure and reliable. Get ready to take your HPC programming skills to the next level and achieve peak performance with this comprehensive guide. If you like this book, write a review on google books!