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A Practical Approach to High-Performance Computing

2019-11-10 Computers
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Release : 2019-11-10
Genre : Computers
Kind : eBook
Book Rating : 582/5 ( reviews)

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Book Synopsis A Practical Approach to High-Performance Computing by : Sergei Kurgalin

Download or read book A Practical Approach to High-Performance Computing written by Sergei Kurgalin. This book was released on 2019-11-10. Available in PDF, EPUB and Kindle. Book excerpt: 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

2017-12-05 Computers
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Release : 2017-12-05
Genre : Computers
Kind : eBook
Book Rating : 152/5 ( reviews)

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Book Synopsis High Performance Computing by : Thomas Sterling

Download or read book High Performance Computing written by Thomas Sterling. This book was released on 2017-12-05. Available in PDF, EPUB and Kindle. Book excerpt: 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

Introduction to High Performance Computing for Scientists and Engineers

2010-07-02 Computers
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Release : 2010-07-02
Genre : Computers
Kind : eBook
Book Rating : 938/5 ( reviews)

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Book Synopsis Introduction to High Performance Computing for Scientists and Engineers by : Georg Hager

Download or read book Introduction to High Performance Computing for Scientists and Engineers written by Georg Hager. This book was released on 2010-07-02. Available in PDF, EPUB and Kindle. Book excerpt: 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

Software Optimization for High-performance Computing

2000 Computers
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Release : 2000
Genre : Computers
Kind : eBook
Book Rating : 088/5 ( reviews)

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Book Synopsis Software Optimization for High-performance Computing by : Kevin R. Wadleigh

Download or read book Software Optimization for High-performance Computing written by Kevin R. Wadleigh. This book was released on 2000. Available in PDF, EPUB and Kindle. Book excerpt: The hands-on guide to high-performance coding and algorithm optimization. This hands-on guide to software optimization introduces state-of-the-art solutions for every key aspect of software performance - both code-based and algorithm-based. Two leading HP software performance experts offer comparative optimization strategies for RISC and for the new Explicitly Parallel Instruction Computing (EPIC) design used in Intel IA-64 processors. Using many practical examples, they offer specific techniques for: Predicting and measuring performance - and identifying your best optimization opportunities Storage optimization: cache, system memory, virtual memory, and I/0 Parallel processing: distributed-memory and shared-memory (SMP and ccNUMA) Compilers and loop optimization Enhancing parallelism: compiler directives, threads, and message passing Mathematical libraries and algorithms Whether you're a developer, ISV, or technical researcher, if you need to optimize high-performance software on today's leading processors, one book delivers the advanced techniques and code examples you need: Software Optimization for High Performance Computing.

Energy-Efficient High Performance Computing

2012-09-04 Computers
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Release : 2012-09-04
Genre : Computers
Kind : eBook
Book Rating : 929/5 ( reviews)

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Book Synopsis Energy-Efficient High Performance Computing by : James H. Laros III

Download or read book Energy-Efficient High Performance Computing written by James H. Laros III. This book was released on 2012-09-04. Available in PDF, EPUB and Kindle. Book excerpt: In this work, the unique power measurement capabilities of the Cray XT architecture were exploited to gain an understanding of power and energy use, and the effects of tuning both CPU and network bandwidth. Modifications were made to deterministically halt cores when idle. Additionally, capabilities were added to alter operating P-state. At the application level, an understanding of the power requirements of a range of important DOE/NNSA production scientific computing applications running at large scale is gained by simultaneously collecting current and voltage measurements on the hosting nodes. The effects of both CPU and network bandwidth tuning are examined, and energy savings opportunities without impact on run-time performance are demonstrated. This research suggests that next-generation large-scale platforms should not only approach CPU frequency scaling differently, but could also benefit from the capability to tune other platform components to achieve more energy-efficient performance.

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