Practical 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.
Practical High Performance Computing
"Practical High Performance Computing" "Practical High Performance Computing" offers a comprehensive and accessible guide to the rapidly evolving field of high performance computing (HPC). This expertly structured book takes readers on a journey through the historical evolution of HPC architectures, delving into the intricate details of modern CPUs, GPUs, memory hierarchies, interconnects, and storage technologies. Each chapter is carefully designed to provide foundational understanding, from the basics of system design and energy efficiency to cutting-edge developments in exascale computing, cloud-based platforms, and sustainable computing initiatives—the essential context for both newcomers and experienced practitioners seeking a holistic view of HPC systems. The book excels in bridging theory and practice, presenting advanced programming paradigms and performance optimization strategies through practical, real-world case studies. Readers will master parallel programming with MPI, OpenMP, and emerging models, explore robust software ecosystems, and gain insights into job management, distributed workflows, and security best practices. In-depth discussions on scalable algorithms, high-performance I/O, benchmarking, and diagnostics equip users with the tools needed to maximize computational efficiency and reliability, whether for scientific research, AI integration, or data-driven discovery across diverse domains like genomics, climate modeling, or astrophysics. Looking toward the future, "Practical High Performance Computing" investigates the open problems and emerging trends shaping the next generation of supercomputing. With thoughtful coverage of topics such as AI-driven optimization, extreme heterogeneity, software portability, resilience, quantum and neuromorphic interfaces, and the socioeconomic dimensions of HPC democratization, this book stands as an indispensable, forward-looking handbook. It is tailored for engineers, researchers, IT professionals, and students who aspire to excel at the intersection of computational science, scalable infrastructure, and innovative software in the era of massive-scale computing.
High Performance Computing
High Performance Computing: Modern Systems and Practices is a fully comprehensive and easily accessible treatment of high performance computing, covering fundamental concepts and essential knowledge while also providing key skills training. With this book, domain scientists will learn how to use supercomputers as a key tool in their quest for new knowledge. In addition, practicing engineers will discover how supercomputers can employ HPC systems and methods to the design and simulation of innovative products, and students will begin their careers with an understanding of possible directions for future research and development in HPC. Those who maintain and administer commodity clusters will find this textbook provides essential coverage of not only what HPC systems do, but how they are used. - Covers enabling technologies, system architectures and operating systems, parallel programming languages and algorithms, scientific visualization, correctness and performance debugging tools and methods, GPU accelerators and big data problems - Provides numerous examples that explore the basics of supercomputing, while also providing practical training in the real use of high-end computers - Helps users with informative and practical examples that build knowledge and skills through incremental steps - Features sidebars of background and context to present a live history and culture of this unique field - Includes online resources, such as recorded lectures from the authors' HPC courses