Hpc Clusters Demystified

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Hpc Clusters Demystified

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Author : Alisa Turing
language : en
Publisher: Publifye AS
Release Date : 2025-01-06

Hpc Clusters Demystified written by Alisa Turing and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-06 with Computers categories.

""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.

Cloud Architecture Demystified

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Author : Keshri Asthana
language : en
Publisher: BPB Publications
Release Date : 2023-05-19

Cloud Architecture Demystified written by Keshri Asthana and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-19 with Computers categories.

Design, deploy, and manage cloud-based solutions that are secure, scalable, and cost-effective KEY FEATURES ● Learn how to enable effective architectural decision-making and cloud deployment strategies within the context of Agile DevOps. ● Gain insights into unconventional principles and practices of architecture in the modern era. ● A comprehensive guide for CTOs and technology leaders to navigate the ever-evolving technology landscape. DESCRIPTION As more and more businesses move their operations to the cloud, understanding cloud architecture becomes crucial for anyone involved in IT, software development, or data management. If you want to leverage the power of the cloud to deliver efficient and resilient services, then this book is for you. This book is a comprehensive guide that will help you with the knowledge and insights to successfully navigate the challenges of Agile development and cloud computing. With its practical advice and in-depth analysis, this book offers a deep understanding of key topics such as multi-cloud adoption, cloud deployment costs, security considerations, availability and disaster recovery, and the integration of Agile methodologies with cloud architecture. It also explores the traits of a good cloud solution architect, the importance of treating data and databases separately, and the impact of public cloud on software architecture. Whether you're a seasoned architect or new to cloud solutions, this book provides valuable guidance for designing robust and effective cloud-based systems. WHAT YOU WILL LEARN ● Gain insights into assessing various aspects while designing cloud deployments. ● Understand the intersection of Agile methodologies, DevOps practices, and cloud computing. ● Understand the importance of adopting a design-first mindset. ● Understand how Agile principles and practices impact software architecture. ● Discover how architects can effectively drive positive change within organizations. WHO THIS BOOK IS FOR The book is for CTOs who are responsible for making strategic decisions regarding cloud adoption and infrastructure. Cloud architects, infrastructure architects, and DevOps architects who are involved in designing and implementing cloud architectures will find this book helpful. TABLE OF CONTENTS 1. Ambivalence of Multi-Cloud 2. Cloud Deployment Costs 3. Security Sense of Cloud 4. Availability and Disaster Recovery 5. Cloud, Agile and Software Development Life Cycle 6. Retrofitting Cloud Services Accurately 7. Design First then Code 8. Infra Team and Apps Team Becomes DevOps Team 9. Traits of Being a Good Cloud Solution Architect 10. Treat Data and Database Separately 11. Frozen Architecture is Obsolete Architecture 12. What Exactly is Software Architecture?

High Performance Computing

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Author : Isidoro Gitler
language : en
Publisher: Springer Nature
Release Date : 2022-04-11

High Performance Computing written by Isidoro Gitler and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-11 with Computers categories.

This book constitutes revised selected papers of the 8th Latin American High Performance Computing Conference, CARLA 2021, held in Guadalajara, Mexico, in October 2021. Due to the COVID-19 pandemic the conference was held in a virtual mode. The 16 revised full papers and 2 short papers presented were carefully reviewed and selected out of 45 submissions. The papers included in this book are organized according to the topics on ​high performance computing; high performance computing and artificial intelligence; high performance computing applications.

Conquering Big Data With High Performance Computing

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Author : Ritu Arora
language : en
Publisher: Springer
Release Date : 2016-09-16

Conquering Big Data With High Performance Computing written by Ritu Arora and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-16 with Computers categories.

This book provides an overview of the resources and research projects that are bringing Big Data and High Performance Computing (HPC) on converging tracks. It demystifies Big Data and HPC for the reader by covering the primary resources, middleware, applications, and tools that enable the usage of HPC platforms for Big Data management and processing.Through interesting use-cases from traditional and non-traditional HPC domains, the book highlights the most critical challenges related to Big Data processing and management, and shows ways to mitigate them using HPC resources. Unlike most books on Big Data, it covers a variety of alternatives to Hadoop, and explains the differences between HPC platforms and Hadoop.Written by professionals and researchers in a range of departments and fields, this book is designed for anyone studying Big Data and its future directions. Those studying HPC will also find the content valuable.

Demystifying Emerging Trends In Machine Learning

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Author : Pankaj Kumar Mishra
language : en
Publisher: Bentham Science Publishers
Release Date : 2025-02-17

Demystifying Emerging Trends In Machine Learning written by Pankaj Kumar Mishra and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-17 with Computers categories.

Demystifying Emerging Trends in Machine Learning (Volume 2) offers a deep dive into emerging and trending topics in the field of machine learning (ML). This edited volume showcases several machine learning methods for a variety of tasks. A key focus of this volume is the application of text classification for cybersecurity, E-commerce, sentiment analysis, public health and web content analysis. The 49 chapters highlight a wide variety of machine learning methods including SVNs, K-Means Clustering, CNNs, DCNNs, among others. Each chapter includes accessible information through summaries, discussions and reference lists. This comprehensive volume is essential for students, researchers, and professionals eager to understand the emerging trends reshaping machine learning today.

Building Clustered Linux Systems

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Author : Robert W. Lucke
language : en
Publisher: Prentice Hall
Release Date : 2005

Building Clustered Linux Systems written by Robert W. Lucke and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.

Until now, building and managing Linux clusters has required more intimate and specialized knowledge than most IT organizations possess. This book dramatically lowers the learning curve, bringing together all the hands-on knowledge and step-by-step techniques needed to get the job done.

High Performance Computing

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Author : Ana-Lucia Varbanescu
language : en
Publisher: Springer Nature
Release Date : 2022-05-29

High Performance Computing written by Ana-Lucia Varbanescu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-29 with Computers categories.

This book constitutes the refereed proceedings of the 37th International Conference on High Performance Computing, ISC High Performance 2022, held in Hamburg, Germany, during May 29 – June 2, 2022. The 18 full papers presented were carefully reviewed and selected from 53 submissions. The papers are categorized into the following topical sub-headings: Architecture, Networks, and Storage; Machine Learning, AI, Emerging Technologies; HPC Algorithms and Applications; Performance Modeling, Evaluation and Analysis; and Programming Environments and Systems Software.

Driving Scientific And Engineering Discoveries Through The Convergence Of Hpc Big Data And Ai

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Author : Jeffrey Nichols
language : en
Publisher: Springer Nature
Release Date : 2020-12-22

Driving Scientific And Engineering Discoveries Through The Convergence Of Hpc Big Data And Ai written by Jeffrey Nichols and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-22 with Computers categories.

This book constitutes the revised selected papers of the 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, held in Oak Ridge, TN, USA*, in August 2020. The 36 full papers and 1 short paper presented were carefully reviewed and selected from a total of 94 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; system software: data infrastructure and life cycle; experimental/observational applications: use cases that drive requirements for AI and HPC convergence; deploying computation: on the road to a converged ecosystem; scientific data challenges. *The conference was held virtually due to the COVID-19 pandemic.

Computational Science Iccs 2024

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Author : Leonardo Franco
language : en
Publisher: Springer Nature
Release Date : 2024-06-28

Computational Science Iccs 2024 written by Leonardo Franco and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-28 with Computers categories.

The 7-volume set LNCS 14832 – 14838 constitutes the proceedings of the 24th International Conference on Computational Science, ICCS 2024, which took place in Malaga, Spain, during July 2–4, 2024. The 155 full papers and 70 short papers included in these proceedings were carefully reviewed and selected from 430 submissions. They were organized in topical sections as follows: Part I: ICCS 2024 Main Track Full Papers; Part II: ICCS 2024 Main Track Full Papers; Part III: ICCS 2024 Main Track Short Papers; Advances in High-Performance Computational Earth Sciences: Numerical Methods, Frameworks and Applications; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Part IV: Biomedical and Bioinformatics Challenges for Computer Science; Computational Health; Part V: Computational Optimization, Modelling, and Simulation; Generative AI and Large Language Models (LLMs) in Advancing Computational Medicine; Machine Learning and Data Assimilation for Dynamical Systems; Multiscale Modelling and Simulation; Part VI: Network Models and Analysis: From Foundations to Artificial Intelligence; Numerical Algorithms and Computer Arithmetic for Computational Science; Quantum Computing; Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks, and Artificial Intelligence; Solving Problems with Uncertainties; Teaching Computational Science

Supercomputing

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Author : Vladimir Voevodin
language : en
Publisher: Springer Nature
Release Date : 2019-12-09

Supercomputing written by Vladimir Voevodin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-09 with Computers categories.

This book constitutes the refereed post-conference proceedings of the 5th Russian Supercomputing Days, RuSCDays 2019, held in Moscow, Russia, in September 2019. The 60 revised full papers presented were carefully reviewed and selected from 127 submissions. The papers are organized in the following topical sections: parallel algorithms; supercomputer simulation; HPC, BigData, AI: architectures, technologies, tools; and distributed and cloud computing.