[Télécharger] Introduction to High Performance Computing for Scientists and Engineers (Chapman & Hall/CRC Computational Science Book 7) (English Edition) de Georg Hager Livres En Ligne
Télécharger Introduction to High Performance Computing for Scientists and Engineers (Chapman & Hall/CRC Computational Science Book 7) (English Edition) de Georg Hager En Ligne
Télécharger "Introduction to High Performance Computing for Scientists and Engineers (Chapman & Hall/CRC Computational Science Book 7) (English Edition)" de Georg Hager livre En ligne
Auteur : Georg Hager
Catégorie : Ebooks Kindle,Ebooks en langues étrangères,Par langue
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Langue : Français, Anglais
Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the authors gained a unique perspective on the requirements and attitudes of users as well as manufacturers of parallel computers.The text first introduces the architecture of modern cache-based microprocessors and discusses their inherent performance limitations, before describing general optimization strategies for serial code on cache-based architectures. It next covers shared- and distributed-memory parallel computer architectures and the most relevant network topologies. After discussing parallel computing on a theoretical level, the authors show how to avoid or ameliorate typical performance problems connected with OpenMP. They then present cache-coherent nonuniform memory access (ccNUMA) optimization techniques, examine distributed-memory parallel programming with message passing interface (MPI), and explain how to write efficient MPI code. The final chapter focuses on hybrid programming with MPI and OpenMP.Users of high performance computers often have no idea what factors limit time to solution and whether it makes sense to think about optimization at all. This book facilitates an intuitive understanding of performance limitations without relying on heavy computer science knowledge. It also prepares readers for studying more advanced literature.Read about the authors’ recent honor: Informatics Europe Curriculum Best Practices Award for Parallelism and Concurrency
Télécharger Introduction to High Performance Computing for Scientists and Engineers (Chapman & Hall/CRC Computational Science Book 7) (English Edition) de Georg Hager PDF Ebook En Ligne
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Introduction to high performance computing for scientists ~ Designed for scientists, engineers, and students, this book presents a concise, practical introduction to high performance computing (HPC). It discusses the architecture of modern processors, providing a solid understanding of the performance potentials and limitations of current architectures and code.
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Computational science - Wikipedia ~ Computational science, also known as scientific computing or scientific computation (SC), is a rapidly growing field that uses advanced computing capabilities to understand and solve complex problems. It is an area of science which spans many disciplines, but at its core, it involves the development of models and simulations to understand natural systems.
Introduction to High Performance Computing ~ Performance Computing for Scientists and Engineers, CRC Press, 2010 •A. Vladimirov and V. Karpusenko, Parallel Programming and Optimization with Intel Xeon Phi Coprocessors, Colfax International, 2014. What you need in order to succeed in this course •Desire to learn how to make programs run fast •Curiosity to investigate performance anomalies (required for making programs run fast .
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High Performance Computing on AWS ~ High Performance Computing (HPC) has been key to solving the most complex problems in every industry, and changing the way we work and live. From weather modeling to genome mapping to the search for extraterrestrial intelligence, HPC is helping to push the boundaries of what’s possible with advanced computing technologies. Once confined to government labs, large enterprises, and select .
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