Clusters Reloaded Rethinking High Performance Computing

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Clusters Reloaded: Rethinking High-Performance Computing

Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-04-29
In the ever-evolving landscape of computing, clusters have emerged as a cornerstone of modern technology, transforming the way we process and manage data. This comprehensive guide unlocks the secrets of clusters, empowering readers with the knowledge and skills to harness their immense power. Delving into the fundamental concepts and benefits of clustering, this book provides a solid foundation for understanding this transformative technology. It explores the various types of cluster architectures, unveiling their strengths and suitability for different workloads. Readers will gain insights into the intricate workings of cluster software, including operating systems, middleware, file systems, and interconnection networks. The book delves into the building blocks of cluster applications, shedding light on parallel programming paradigms, data distribution strategies, load balancing techniques, and fault tolerance mechanisms. It then embarks on a journey through the diverse applications of clusters, spanning high-performance computing, big data analytics, cloud computing, edge computing, and emerging frontiers such as quantum computing and blockchain technology. With a keen eye on the future, this book explores the emerging trends and innovations that are shaping the next generation of clusters. It identifies the challenges and opportunities that lie ahead, offering valuable insights for architects, administrators, and users alike. Best practices for successful cluster deployments are also included, providing a roadmap for unlocking the full potential of this technology. Whether you are a seasoned professional or a newcomer to the world of clusters, this book serves as an invaluable resource. Its comprehensive coverage, clear explanations, and practical guidance will empower you to unlock the power of clusters and drive innovation in your field. Discover the transformative possibilities of clusters and embark on a journey to the forefront of computing technology. If you like this book, write a review on google books!
High Performance Cluster Computing

An authoritative guide to today's revolution in "commodity supercomputing, " this book brings together more than 100 of the field's leading practitioners, providing a single source for up-to-the-minute information on virtually every key system issue associated with high-performance cluster computing.
IBM High-Performance Computing Insights with IBM Power System AC922 Clustered Solution

This IBM® Redbooks® publication documents and addresses topics to set up a complete infrastructure environment and tune the applications to use an IBM POWER9TM hardware architecture with the technical computing software stack. This publication is driven by a CORAL project solution. It explores, tests, and documents how to implement an IBM High-Performance Computing (HPC) solution on a POWER9 processor-based system by using IBM technical innovations to help solve challenging scientific, technical, and business problems. This book documents the HPC clustering solution with InfiniBand on IBM Power SystemsTM AC922 8335-GTH and 8335-GTX servers with NVIDIA Tesla V100 SXM2 graphics processing units (GPUs) with NVLink, software components, and the IBM SpectrumTM Scale parallel file system. This solution includes recommendations about the components that are used to provide a cohesive clustering environment that includes job scheduling, parallel application tools, scalable file systems, administration tools, and a high-speed interconnect. This book is divided into three parts: Part 1 focuses on the planners of the solution, Part 2 focuses on the administrators, and Part 3 focuses on the developers. This book targets technical professionals (consultants, technical support staff, IT architects, and IT specialists) who are responsible for delivering cost-effective HPC solutions that help uncover insights among clients' data so that they can act to optimize business results, product development, and scientific discoveries.