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Fb2 Introduction to High Performance Computing for Scientists and Engineers (Chapman Hall/CRC Computational Science) ePub

by Gerhard Wellein,Georg Hager

Category: Programming
Subcategory: Technologies and Computers
Author: Gerhard Wellein,Georg Hager
ISBN: 143981192X
ISBN13: 978-1439811924
Language: English
Publisher: CRC Press; 1 edition (July 4, 2010)
Pages: 356
Fb2 eBook: 1980 kb
ePub eBook: 1668 kb
Digital formats: rtf lrf mbr lit

Georg Hager and Gerhard Wellein have developed a very approachable introduction to high performance . I highly recommend this timely book for scientists and engineers. I believe this book will benefit many readers and provide a fine reference.

Georg Hager and Gerhard Wellein have developed a very approachable introduction to high performance computing for scientists and engineers. Their style and description is easy to read and follow. This book presents a balanced treatment of the theory, technology, architecture, and software for modern high performance computers and the use of high performance computing systems.

Although the power of the PC has brought many of those computational.

AIMS AND SCOPE This series aims to capture new developments and applications in the field of computational science through the publication of a broad range of textbooks, reference works, and handbooks. I highly recommend this timely book for scientists and engineers, and I believe it will benefit many readers and provide a fine reference.

Written by high performance computing (HPC) experts, Introduction to High Performance . Georg Hager, Gerhard Wellein.

Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineersprovides 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.

Introduction to High Performance Computing for Scientists and Engineers (Chapman & Hall CRC Computational Science). Скачать (pdf, . 5 Mb).

Georg Hager, Gerhard Wellein. This book is a well-recognized and leading guidebook on High Performance Computing for a broad audience of readers from industry and academia.

by Georg Hager & Gerhard Wellein. Python Programming: An Introduction to Computer Science John M. Zelle, P. Almost everything will work again if you unplug it for a few minutes, including you. ― Anne Lamott. Learning and Understanding: Improving Advanced Study of Mathematics and Science in . 01 MB·10,517 Downloads·New!.

Written by high performance computing (HPC) experts, Introduction to High .

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 HP. 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.

by CRC Press, ISBN 978-1439811924, in CRC’s Computational Science Series.

Introduction to High Performance Computing for Scientists and Engineers. This page provides accompanying information for the book Introduction to High Performance Computing for Scientists and Engineers by Georg Hager and Gerhard Wellein, published by CRC Press, ISBN 978-1439811924, in CRC’s Computational Science Series.

Written by way of excessive functionality computing (HPC) specialists, Introduction to excessive functionality Computing for Scientists and Engineers offers a superb creation to present mainstream machine structure, dominant parallel programming versions, and precious. By Georg Hager, Gerhard Wellein. I highly recommend this timely book for scientists and engineers

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 usefu. 356 pages 143 B/W Illus. For Instructors Request Inspection Copy. From the Foreword by Jack Dongarra, University of Tennessee, Knoxville, USA.

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Comments to eBook Introduction to High Performance Computing for Scientists and Engineers (Chapman Hall/CRC Computational Science)
Dddasuk
I have read many texts covering high performance and parallel programming, but none of them provides the fundamental coverage of the core concepts as well as this one. The authors' emphasis on maximizing performance of serial programs _before_ applying parallelization strategies is something drastically missing from every other text on parallel programming I have read. Additionally, their discussion of ccNUMA was a breath of fresh air. Most texts never mention it, but this one has a whole chapter! Each chapter also has a set of questions that extend the concepts covered therein. The solutions are in the back, so it may not be best suited as a classroom text (although it certainly could) but it makes self-study very easy.

The choice of using FORTRAN for most of the code examples is, in my mind, unfortunate but understandable as the array syntax in that language does simplify demonstrating certain programming features. There is also C++ code sprinkled here and there, but contains disproportionately more problems than the FORTRAN code (e.g., the use of static_cast instead of reinterpret_cast in the discussion of allocators and placement new). It would have been nice to see a deeper coverage of SIMD programming, as well. However, my biggest complaint is that "classical" coverage of OpenMP for shared memory programming and MPI for distributed memory programming. Indeed, these two technologies are ubiquitous in the HPC world, but there are many great technologies that provide several new features and fill in the gaps left by these classic tools. Yet little to no mention is given to them (e.g., Intel's TBB, Cilk Plus, C++11's threading library, etc.).
Felhann
I have learned some basic, fundamental facts from this book, despite the fact that I've been producing (good) code for some 30 years. For instance, that the leading consideration in optimization is memory management--- getting data from RAM to the CPU--- this is orders of magnitude more important than number of mathematical operations. I also learned that while the CPU does its best to cache and pipeline operations by guessing what I'm going to call next, the compiler doesn't help as much as I thought it did. (For instance, loop unrolling is considered an advanced optimization, not usually performed). This book has effectively suggested a few experiments I can perform with my code to see if I can get it more into a form that the CPU expects and maybe gain a factor of 10 or 100 on tight loops. (Plots of throughput in the book have sharp edges of at least that magnitude.)
Doomwarden
This book assumes you have a lot of background knowledge in CS both in coding and hardware makeup of a computer.
And it is written in a way that is so much denser than it needs to be. For example, it is very annoying how uses vocabulary like buses before he defines them and doesn't write about paging in any sort of illuminating way at all, but still goes on to talk about the problems with it. The concepts themselves are very easy once you slowly get through the passage. It's no calculus for first time learners or 5 star sudoku logic, but I wonder if it is the overabundance of jargon that obfuscates or his extremely dry writing style (as opposed to something like Griffiths texts).

It's the first time I have read such a book, and it is okay. I learned something, but there is something to be said about his writing style if online resources were significantly more illuminating using similar amounts of jargon for various people who had/have currently varying degrees of knowledge of general programming/HPC knowledge as well as myself.
Sudert
I would give this 4.5 stars if I could. I find it to be pretty well written but not always organized the greatest. This means if you want to study a certain concept (e.g., OpenMP) you need to hop around the book a lot. This is a stylistic thing -- clearly the authors just think of organizing things differently than me, but I would prefer a different ordering. Having said that, all of the material is there and helpful.
Kitaxe
Very good introduction book!
MARK BEN FORD
Excellent overview on many relevant aspects of HPSC, including hardware, algorithm design, and parallel processing.
Benn
This is a great guide for someone looking to optimize code. I find that their way of presenting the material is great: they start off with basic performance optimizations that can be applied to serial code and then go on to address parallel code. Even computer scientists who are already familiar with the relevant computer architecture issues can benefit.
Thanks! Arrived as advertised.
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