High Performance Computing Demystified
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High Performance Computing Demystified
High Performance Computing Demystified provides an overview of high performance resources and their applications across many disciplines. This book is organized into five parts encompassing 16 chapters that cover the principles, mode of operation, and practical aspects of supercomputers. The first and second parts provide a brief history of high performance computing and describe the "basic parts needed to build high performance computers, including high performance microprocessors and network topologies. The third part examines the features of multiprocessor architectures of high performance, such as the large number crunchers, massively parallel processing machines, and networks of workstations. The fourth part deals with the software paradigms for high performance, while the fifth part looks into the high performance computing resources that are available to the public, with some guide to accessing those resources. This book is intended primarily for engineers and business managers who have a basic understanding of computers and would like to learn about high performance computing.
High Performance Computing Demystified
This book presents an introductory discussion of high-performance computing. It is targeted to an informal audience of computer professionals and engineers who have a basic understanding of computers and would like to learn more about high-performance computing. Loshin provides simple definitions of important terms used in high-performance computing.
HPC Clusters Demystified
""HPC Clusters Demystified"" offers a comprehensive exploration of high-performance computing clusters, addressing the crucial intersection of computing infrastructure and performance optimization. The book methodically breaks down how thousands of computing nodes work together to tackle complex computational tasks that would overwhelm single systems, making it an essential resource for IT professionals and engineers working with large-scale computing environments. The text progresses logically through three core areas: fundamental cluster architecture, interconnect technologies, and workload optimization strategies. It bridges theoretical concepts with practical implementation, offering readers real-world insights drawn from major research institutions and technology companies. What sets this book apart is its systematic approach to both hardware and software optimization, supported by benchmark data and performance analyses using industry-standard tools. The content maintains accessibility while diving deep into technical concepts, using clear diagrams and real-world examples to illustrate complex ideas. Particularly valuable for system administrators and IT architects, the book provides detailed procedures for cluster design, performance tuning, and maintenance protocols. It expertly connects multiple disciplines, from computer science to mechanical engineering, addressing crucial aspects like thermal management and power distribution. While focusing primarily on Linux-based systems, it covers both commercial and academic cluster deployments, offering practical solutions for modern computational challenges in parallel computing and system optimization.