The Art Of Hpc Volume 1 The Science Of Computing PDF Download
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| Author | : Victor Eijkhout |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2022-12-23 |
| Genre | : |
| ISBN | : 9781387388561 |
Download The Art of HPC, Volume 1: the Science of Computing Book in PDF, ePub and Kindle
The field of High Performance Computing lies at the crossroad of a number of disciplines and skill sets. Correspondingly, for someone to be successful at using HPC in science requires at least elementary knowledge of and skills in all these areas. The series "The Art of High Performance Computing" brings together the components that make up the toolbox of a computational scientist.Volume 1, "The Science of Computing" provides HPC practitioners the conceptual background to understand and employ the techniques of the field. Major chapters cover processor architecture, parallel computer design, computer arithmetic, computational aspects of numerical modeling. All this is brought together in analyses of the performance behavior of common computational algorithms.Victor Eijkhout is a research scientist at the Texas Advanced Computing Center of The University of Texas at Austin.
| Author | : Victor Eijkhout |
| Publisher | : Lulu.com |
| Total Pages | : 536 |
| Release | : 2010 |
| Genre | : Computers |
| ISBN | : 1257992546 |
Download Introduction to High Performance Scientific Computing Book in PDF, ePub and Kindle
This is a textbook that teaches the bridging topics between numerical analysis, parallel computing, code performance, large scale applications.
| Author | : Masaaki Geshi |
| Publisher | : Springer |
| Total Pages | : 219 |
| Release | : 2019-05-14 |
| Genre | : Computers |
| ISBN | : 9811361940 |
Download The Art of High Performance Computing for Computational Science, Vol. 1 Book in PDF, ePub and Kindle
This book provides basic and practical techniques of parallel computing and related methods of numerical analysis for researchers who conduct numerical calculation and simulation. Although the techniques provided in this book are field-independent, these methods can be used in fields such as physics, chemistry, biology, earth sciences, space science, meteorology, disaster prevention, and manufacturing. In particular, those who develop software code in these areas will find this book useful. The contents are suitable for graduate students and researchers in computational science rather than novices at programming or informed experts in computer science. Starting with an introduction to the recent trends in computer architecture and parallel processing, Chapter 1 explains the basic knowledge of speedup programs with simple examples of numerical computing. Chapters 2 – 4 detail the basics of parallel programming, the message passing interface (MPI), and OpenMP and discuss hybrid parallelization techniques. Showing an actual example of adaptation, Chapter 5 gives an overview of performance tuning and communication optimizations. To deal with dense matrix calculations, Chapter 6 details the basics and practice of linear algebra calculation libraries BLAS and LAPACK, including some examples that can be easily reproduced by readers using free software. Focusing on sparse matrix calculations, Chapter 7 explains high performance algorithms for numerical linear algebra. Chapter 8 introduces the fast Fourier transform in large-scale systems from the basics. Chapter 9 explains optimization and related topics such as debug methods and version control systems. Chapter 10 discusses techniques for increasing computation accuracy as an essential topic in numerical calculation. This is the first of the two volumes that grew out of a series of lectures in the K computer project in Japan. The second volume will focus on advanced techniques and examples of applications in materials science.
| Author | : Georg Hager |
| Publisher | : CRC Press |
| Total Pages | : 350 |
| Release | : 2010-07-02 |
| Genre | : Computers |
| ISBN | : 1439811938 |
Download Introduction to High Performance Computing for Scientists and Engineers Book in PDF, ePub and Kindle
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
| Author | : Michael Parkin |
| Publisher | : Manchester University Press |
| Total Pages | : 356 |
| Release | : 1976 |
| Genre | : Inflation (Finance) |
| ISBN | : 9780719007002 |
Download Inflation in the World Economy Book in PDF, ePub and Kindle
| Author | : Jack Dongarra |
| Publisher | : Springer |
| Total Pages | : 1195 |
| Release | : 2006-02-27 |
| Genre | : Computers |
| ISBN | : 354033498X |
Download Applied Parallel Computing Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 7th International Conference on Applied Parallel Computing, PARA 2004, held in June 2004. The 118 revised full papers presented together with five invited lectures and 15 contributed talks were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections.
| Author | : Stan Openshaw |
| Publisher | : Routledge |
| Total Pages | : 260 |
| Release | : 2005-09-19 |
| Genre | : Science |
| ISBN | : 1134729715 |
Download High Performance Computing and the Art of Parallel Programming Book in PDF, ePub and Kindle
This book provides a non-technical introduction to High Performance Computing applications together with advice about how beginners can start to write parallel programs. The authors show what HPC can offer geographers and social scientists and how it can be used in GIS. They provide examples of where it has already been used and suggestions for other areas of application in geography and the social sciences. Case studies drawn from geography explain the key principles and help to understand the logic and thought processes that lie behind the parallel programming.
| Author | : Lloyd Dudley Fosdick |
| Publisher | : MIT Press |
| Total Pages | : 838 |
| Release | : 1996 |
| Genre | : Computers |
| ISBN | : 9780262061810 |
Download An Introduction to High-performance Scientific Computing Book in PDF, ePub and Kindle
Designed for undergraduates, An Introduction to High-Performance Scientific Computing assumes a basic knowledge of numerical computation and proficiency in Fortran or C programming and can be used in any science, computer science, applied mathematics, or engineering department or by practicing scientists and engineers, especially those associated with one of the national laboratories or supercomputer centers. This text evolved from a new curriculum in scientific computing that was developed to teach undergraduate science and engineering majors how to use high-performance computing systems (supercomputers) in scientific and engineering applications. Designed for undergraduates, An Introduction to High-Performance Scientific Computing assumes a basic knowledge of numerical computation and proficiency in Fortran or C programming and can be used in any science, computer science, applied mathematics, or engineering department or by practicing scientists and engineers, especially those associated with one of the national laboratories or supercomputer centers. The authors begin with a survey of scientific computing and then provide a review of background (numerical analysis, IEEE arithmetic, Unix, Fortran) and tools (elements of MATLAB, IDL, AVS). Next, full coverage is given to scientific visualization and to the architectures (scientific workstations and vector and parallel supercomputers) and performance evaluation needed to solve large-scale problems. The concluding section on applications includes three problems (molecular dynamics, advection, and computerized tomography) that illustrate the challenge of solving problems on a variety of computer architectures as well as the suitability of a particular architecture to solving a particular problem. Finally, since this can only be a hands-on course with extensive programming and experimentation with a variety of architectures and programming paradigms, the authors have provided a laboratory manual and supporting software via anonymous ftp. Scientific and Engineering Computation series
| Author | : Wolfgang E. Nagel |
| Publisher | : Springer |
| Total Pages | : 682 |
| Release | : 2015-02-14 |
| Genre | : Computers |
| ISBN | : 3319108107 |
Download High Performance Computing in Science and Engineering ‘14 Book in PDF, ePub and Kindle
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.
| Author | : Masaaki Geshi |
| Publisher | : Springer Nature |
| Total Pages | : 209 |
| Release | : 2019-10-01 |
| Genre | : Computers |
| ISBN | : 981139802X |
Download The Art of High Performance Computing for Computational Science, Vol. 2 Book in PDF, ePub and Kindle
This book presents advanced and practical techniques for performance optimization for highly parallel processing. Featuring various parallelization techniques in material science, it is a valuable resource for anyone developing software codes for computational sciences such as physics, chemistry, biology, earth sciences, space science, weather, disaster prevention and manufacturing, as well as for anyone using those software codes. Chapter 1 outlines supercomputers and includes a brief explanation of the history of hardware. Chapter 2 presents procedures for performance evaluation, while Chapter 3 describes the set of tuned applications in materials science, nanoscience and nanotechnology, earth science and engineering on the K computer. Introducing the order-N method, based on density functional theory (DFT) calculation, Chapter 4 explains how to extend the applicability of DFT to large-scale systems by reducing the computational complexity. Chapter 5 discusses acceleration and parallelization in classical molecular dynamics simulations, and lastly, Chapter 6 explains techniques for large-scale quantum chemical calculations, including the order-N method. This is the second of the two volumes that grew out of a series of lectures in the K computer project in Japan. The first volume addresses more basic techniques, and this second volume focuses on advanced and concrete techniques.
