Problem-solving in High Performance Computing
Problem-solving in High Performance Computing

Author: Igor Ljubuncic

Publisher: Morgan Kaufmann

Published: 2015-09-01

Total Pages: 322

ISBN-13: 0128010649

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Problem-Solving in High Performance Computing: A Situational Awareness Approach with Linux focuses on understanding giant computing grids as cohesive systems. Unlike other titles on general problem-solving or system administration, this book offers a cohesive approach to complex, layered environments, highlighting the difference between standalone system troubleshooting and complex problem-solving in large, mission critical environments, and addressing the pitfalls of information overload, micro, and macro symptoms, also including methods for managing problems in large computing ecosystems. The authors offer perspective gained from years of developing Intel-based systems that lead the industry in the number of hosts, software tools, and licenses used in chip design. The book offers unique, real-life examples that emphasize the magnitude and operational complexity of high performance computer systems. Provides insider perspectives on challenges in high performance environments with thousands of servers, millions of cores, distributed data centers, and petabytes of shared data Covers analysis, troubleshooting, and system optimization, from initial diagnostics to deep dives into kernel crash dumps Presents macro principles that appeal to a wide range of users and various real-life, complex problems Includes examples from 24/7 mission-critical environments with specific HPC operational constraints

High Performance Computing
High Performance Computing

Author: Gary Sabot

Publisher: Addison Wesley Longman

Published: 1995

Total Pages: 280

ISBN-13:

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This book shows by example how to solve complex scientific problems with programs that run on high-performance computers. Combining case studies from a variety of problem domains, it shows how to map or transform an abstract problem into concrete solutions that execute rapidly and efficiently on available high-performance hardware.

High Performance Computing
High Performance Computing

Author: Thomas Sterling

Publisher: Morgan Kaufmann

Published: 2017-12-05

Total Pages: 720

ISBN-13: 0124202152

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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

Published: 2018-02-21

Total Pages: 648

ISBN-13: 1315354691

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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.

New Frontiers in High Performance Computing and Big Data
New Frontiers in High Performance Computing and Big Data

Author: G. Fox

Publisher: IOS Press

Published: 2017-11-14

Total Pages: 272

ISBN-13: 1614998167

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For the last four decades, parallel computing platforms have increasingly formed the basis for the development of high performance systems primarily aimed at the solution of intensive computing problems, and the application of parallel computing systems has also become a major factor in furthering scientific research. But such systems also offer the possibility of solving the problems encountered in the processing of large-scale scientific data sets, as well as in the analysis of Big Data in the fields of medicine, social media, marketing, economics etc. This book presents papers from the International Research Workshop on Advanced High Performance Computing Systems, held in Cetraro, Italy, in July 2016. The workshop covered a wide range of topics and new developments related to the solution of intensive and large-scale computing problems, and the contributions included in this volume cover aspects of the evolution of parallel platforms and highlight some of the problems encountered with the development of ever more powerful computing systems. The importance of future large-scale data science applications is also discussed. The book will be of particular interest to all those involved in the development or application of parallel computing systems.

A Practical Approach to High-Performance Computing
A Practical Approach to High-Performance Computing

Author: Sergei Kurgalin

Publisher: Springer Nature

Published: 2019-11-10

Total Pages: 206

ISBN-13: 3030275582

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The book discusses the fundamentals of high-performance computing. The authors combine visualization, comprehensibility, and strictness in their material presentation, and thus influence the reader towards practical application and learning how to solve real computing problems. They address both key approaches to programming modern computing systems: multithreading-based parallelizing in shared memory systems, and applying message-passing technologies in distributed systems. The book is suitable for undergraduate and graduate students, and for researchers and practitioners engaged with high-performance computing systems. Each chapter begins with a theoretical part, where the relevant terminology is introduced along with the basic theoretical results and methods of parallel programming, and concludes with a list of test questions and problems of varying difficulty. The authors include many solutions and hints, and often sample code.

High Performance Computing for Computational Science - VECPAR 2008
High Performance Computing for Computational Science - VECPAR 2008

Author: José M. Laginha M. Palma

Publisher: Springer

Published: 2008-12-16

Total Pages: 612

ISBN-13: 3540928596

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This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on High Performance Computing for Computational Science, VECPAR 2008, held in Toulouse, France, in June 2008. The 51 revised full papers presented together with the abstract of a surveying and look-ahead talk were carefully reviewed and selected from 73 submissions. The papers are organized in topical sections on parallel and distributed computing, cluster and grid computing, problem solving environment and data centric, numerical methods, linear algebra, computing in geosciences and biosciences, imaging and graphics, computing for aerospace and engineering, and high-performance data management in grid environments.

High Performance Computing for Computational Science - VECPAR 2002
High Performance Computing for Computational Science - VECPAR 2002

Author: José M.L.M. Palma

Publisher: Springer Science & Business Media

Published: 2003-04-07

Total Pages: 732

ISBN-13: 3540008527

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This book constitutes the thoroughly refereed post-proceedings of the 5th International Conference on High Performance Computing for Computational Science, VECPAR 2002, held in Porto, Portugal in June 2002. The 45 revised full papers presented together with 4 invited papers were carefully selected during two rounds of reviewing and improvement. The papers are organized in topical sections on fluids and structures, data mining, computing in chemistry and biology, problem solving environments, computational linear and non-linear algebra, cluster computing, imaging, and software tools and environments.

High Performance Computing: Technology, Methods and Applications
High Performance Computing: Technology, Methods and Applications

Author: J.J. Dongarra

Publisher: Elsevier

Published: 1995-09-13

Total Pages: 437

ISBN-13: 0080553915

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High Performance Computing is an integrated computing environment for solving large-scale computational demanding problems in science, engineering and business. Newly emerging areas of HPC applications include medical sciences, transportation, financial operations and advanced human-computer interface such as virtual reality. High performance computing includes computer hardware, software, algorithms, programming tools and environments, plus visualization. The book addresses several of these key components of high performance technology and contains descriptions of the state-of-the-art computer architectures, programming and software tools and innovative applications of parallel computers. In addition, the book includes papers on heterogeneous network-based computing systems and scalability of parallel systems. The reader will find information and data relative to the two main thrusts of high performance computing: the absolute computational performance and that of providing the most cost effective and affordable computing for science, industry and business. The book is recommended for technical as well as management oriented individuals.