High Performance Computing in Science and Engineering ‘14

High Performance Computing in Science and Engineering ‘14
Author: Wolfgang E. Nagel
Publisher: Springer
Total Pages: 682
Release: 2015-02-14
Genre: Computers
ISBN: 3319108107

This book presents the state-of-the-art in supercomputer simulation. It includes the latest findings from leading researchers using systems from the High Performance Computing Center Stuttgart (HLRS). The reports cover all fields of computational science and engineering ranging from CFD to computational physics and from chemistry to computer science with a special emphasis on industrially relevant applications. Presenting findings of one of Europe’s leading systems, this volume covers a wide variety of applications that deliver a high level of sustained performance. The book covers the main methods in high-performance computing. Its outstanding results in achieving the best performance for production codes are of particular interest for both scientists and engineers. The book comes with a wealth of color illustrations and tables of results.

Introduction to High Performance Computing for Scientists and Engineers

Introduction to High Performance Computing for Scientists and Engineers
Author: Georg Hager
Publisher: CRC Press
Total Pages: 350
Release: 2010-07-02
Genre: Computers
ISBN: 1439811938

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 author

High Performance Computing in Science and Engineering '21

High Performance Computing in Science and Engineering '21
Author: Wolfgang E. Nagel
Publisher: Springer Nature
Total Pages: 516
Release: 2023-03-03
Genre: Computers
ISBN: 3031179374

This book presents the state-of-the-art in supercomputer simulation. It includes the latest findings from leading researchers using systems from the High Performance Computing Center Stuttgart (HLRS) in 2021. The reports cover all fields of computational science and engineering ranging from CFD to computational physics and from chemistry to computer science with a special emphasis on industrially relevant applications. Presenting findings of one of Europe’s leading systems, this volume covers a wide variety of applications that deliver a high level of sustained performance. The book covers the main methods in high-performance computing. Its outstanding results in achieving the best performance for production codes are of particular interest for both scientists and engineers. The book comes with a wealth of color illustrations and tables of results.

High Performance Computing

High Performance Computing
Author: Thomas Sterling
Publisher: Morgan Kaufmann
Total Pages: 720
Release: 2017-12-05
Genre: Computers
ISBN: 0124202152

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

High-Performance Computing in Finance

High-Performance Computing in Finance
Author: M. A. H. Dempster
Publisher: CRC Press
Total Pages: 648
Release: 2018-02-21
Genre: Computers
ISBN: 1315354691

High-Performance Computing (HPC) delivers higher computational performance to solve problems in science, engineering and finance. There are various HPC resources available for different needs, ranging from cloud computing– that can be used without much expertise and expense – to more tailored hardware, such as Field-Programmable Gate Arrays (FPGAs) or D-Wave’s quantum computer systems. High-Performance Computing in Finance is the first book that provides a state-of-the-art introduction to HPC for finance, capturing both academically and practically relevant problems.

High Performance Computing in Science and Engineering ’98

High Performance Computing in Science and Engineering ’98
Author: Egon Krause
Publisher: Springer Science & Business Media
Total Pages: 462
Release: 2012-12-06
Genre: Mathematics
ISBN: 3642586007

The book contains reports about the most significant projects from science and industry that are using the supercomputers of the Federal High Performance Computing Center Stuttgart (HLRS). These projects are from different scientific disciplines, with a focus on engineering, physics and chemistry. They were carefully selected in a peer-review process and are showcases for an innovative combination of state-of-the-art physical modeling, novel algorithms and the use of leading-edge parallel computer technology. As HLRS is in close cooperation with industrial companies, special emphasis has been put on the industrial relevance of results and methods.

High Performance Computing

High Performance Computing
Author: John Levesque
Publisher: CRC Press
Total Pages: 244
Release: 2010-12-14
Genre: Computers
ISBN: 1420077066

High Performance Computing: Programming and Applications presents techniques that address new performance issues in the programming of high performance computing (HPC) applications. Omitting tedious details, the book discusses hardware architecture concepts and programming techniques that are the most pertinent to application developers for achievi

High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation

High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation
Author: Stephen A. Jarvis
Publisher: Springer
Total Pages: 284
Release: 2015-04-20
Genre: Computers
ISBN: 3319172484

This book constitutes the thoroughly refereed proceedings of the 5th International Workshop, PMBS 2014 in New Orleans, LA, USA in November 2014. The 12 full and 2 short papers presented in this volume were carefully reviewed and selected from 53 submissions. The papers cover topics on performance benchmarking and optimization; performance analysis and prediction; and power, energy and checkpointing.

Software Engineering for Science

Software Engineering for Science
Author: Jeffrey C. Carver
Publisher: CRC Press
Total Pages: 311
Release: 2016-11-03
Genre: Computers
ISBN: 1498743862

Software Engineering for Science provides an in-depth collection of peer-reviewed chapters that describe experiences with applying software engineering practices to the development of scientific software. It provides a better understanding of how software engineering is and should be practiced, and which software engineering practices are effective for scientific software. The book starts with a detailed overview of the Scientific Software Lifecycle, and a general overview of the scientific software development process. It highlights key issues commonly arising during scientific software development, as well as solutions to these problems. The second part of the book provides examples of the use of testing in scientific software development, including key issues and challenges. The chapters then describe solutions and case studies aimed at applying testing to scientific software development efforts. The final part of the book provides examples of applying software engineering techniques to scientific software, including not only computational modeling, but also software for data management and analysis. The authors describe their experiences and lessons learned from developing complex scientific software in different domains. About the Editors Jeffrey Carver is an Associate Professor in the Department of Computer Science at the University of Alabama. He is one of the primary organizers of the workshop series on Software Engineering for Science (http://www.SE4Science.org/workshops). Neil P. Chue Hong is Director of the Software Sustainability Institute at the University of Edinburgh. His research interests include barriers and incentives in research software ecosystems and the role of software as a research object. George K. Thiruvathukal is Professor of Computer Science at Loyola University Chicago and Visiting Faculty at Argonne National Laboratory. His current research is focused on software metrics in open source mathematical and scientific software.