The High Performance Fortran Handbook

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The High Performance Fortran Handbook

Author : Charles H. Koelbel
Publisher : MIT Press
Page : 356 pages
File Size : 54,5 Mb
Release : 1994
Category : Computers
ISBN : 0262610949

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The High Performance Fortran Handbook by Charles H. Koelbel Pdf

Software -- Programming Languages.

Fortran 95

Author : M Counihan
Publisher : CRC Press
Page : 630 pages
File Size : 40,7 Mb
Release : 2006-02-01
Category : Computers
ISBN : 9781135366049

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Fortran 95 by M Counihan Pdf

This is the second edition of the first introductory textbook written for the FORTRAN 90 standard. It remains suitable for the novice scientific programmer, drawing on a larger number of examples and exercises in this new edition.

Introduction to High Performance Computing for Scientists and Engineers

Author : Georg Hager,Gerhard Wellein
Publisher : CRC Press
Page : 350 pages
File Size : 41,6 Mb
Release : 2010-07-02
Category : Computers
ISBN : 9781439811931

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Introduction to High Performance Computing for Scientists and Engineers by Georg Hager,Gerhard Wellein Pdf

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

Parallel and High Performance Computing

Author : Robert Robey,Yuliana Zamora
Publisher : Simon and Schuster
Page : 702 pages
File Size : 40,7 Mb
Release : 2021-08-24
Category : Computers
ISBN : 9781638350385

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Parallel and High Performance Computing by Robert Robey,Yuliana Zamora Pdf

Parallel and High Performance Computing offers techniques guaranteed to boost your code’s effectiveness. Summary Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours—or even days—of computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scalability, and increased energy efficiency to your programs by mastering parallel techniques for multicore processor and GPU hardware. About the technology Write fast, powerful, energy efficient programs that scale to tackle huge volumes of data. Using parallel programming, your code spreads data processing tasks across multiple CPUs for radically better performance. With a little help, you can create software that maximizes both speed and efficiency. About the book Parallel and High Performance Computing offers techniques guaranteed to boost your code’s effectiveness. You’ll learn to evaluate hardware architectures and work with industry standard tools such as OpenMP and MPI. You’ll master the data structures and algorithms best suited for high performance computing and learn techniques that save energy on handheld devices. You’ll even run a massive tsunami simulation across a bank of GPUs. What's inside Planning a new parallel project Understanding differences in CPU and GPU architecture Addressing underperforming kernels and loops Managing applications with batch scheduling About the reader For experienced programmers proficient with a high-performance computing language like C, C++, or Fortran. About the author Robert Robey works at Los Alamos National Laboratory and has been active in the field of parallel computing for over 30 years. Yuliana Zamora is currently a PhD student and Siebel Scholar at the University of Chicago, and has lectured on programming modern hardware at numerous national conferences. Table of Contents PART 1 INTRODUCTION TO PARALLEL COMPUTING 1 Why parallel computing? 2 Planning for parallelization 3 Performance limits and profiling 4 Data design and performance models 5 Parallel algorithms and patterns PART 2 CPU: THE PARALLEL WORKHORSE 6 Vectorization: FLOPs for free 7 OpenMP that performs 8 MPI: The parallel backbone PART 3 GPUS: BUILT TO ACCELERATE 9 GPU architectures and concepts 10 GPU programming model 11 Directive-based GPU programming 12 GPU languages: Getting down to basics 13 GPU profiling and tools PART 4 HIGH PERFORMANCE COMPUTING ECOSYSTEMS 14 Affinity: Truce with the kernel 15 Batch schedulers: Bringing order to chaos 16 File operations for a parallel world 17 Tools and resources for better code

High Performance Computing Demystified

Author : David Loshin
Publisher : Academic Press
Page : 278 pages
File Size : 49,9 Mb
Release : 2014-05-10
Category : Mathematics
ISBN : 9781483265964

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High Performance Computing Demystified by David Loshin Pdf

High Performance Computing Demystified provides an overview of high performance resources and their applications across many disciplines. This book is organized into five parts encompassing 16 chapters that cover the principles, mode of operation, and practical aspects of supercomputers. The first and second parts provide a brief history of high performance computing and describe the “basic parts needed to build high performance computers, including high performance microprocessors and network topologies. The third part examines the features of multiprocessor architectures of high performance, such as the large number crunchers, massively parallel processing machines, and networks of workstations. The fourth part deals with the software paradigms for high performance, while the fifth part looks into the high performance computing resources that are available to the public, with some guide to accessing those resources. This book is intended primarily for engineers and business managers who have a basic understanding of computers and would like to learn about high performance computing.

Parallel and High Performance Computing

Author : Robert Robey,Yuliana Zamora
Publisher : Simon and Schuster
Page : 702 pages
File Size : 49,9 Mb
Release : 2021-06-22
Category : Computers
ISBN : 9781617296468

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Parallel and High Performance Computing by Robert Robey,Yuliana Zamora Pdf

Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours--or even days--of computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scalability, and increased energy efficiency to your programs by mastering parallel techniques for multicore processor and GPU hardware. about the technology Modern computing hardware comes equipped with multicore CPUs and GPUs that can process numerous instruction sets simultaneously. Parallel computing takes advantage of this now-standard computer architecture to execute multiple operations at the same time, offering the potential for applications that run faster, are more energy efficient, and can be scaled to tackle problems that demand large computational capabilities. But to get these benefits, you must change the way you design and write software. Taking advantage of the tools, algorithms, and design patterns created specifically for parallel processing is essential to creating top performing applications. about the book Parallel and High Performance Computing is an irreplaceable guide for anyone who needs to maximize application performance and reduce execution time. Parallel computing experts Robert Robey and Yuliana Zamora take a fundamental approach to parallel programming, providing novice practitioners the skills needed to tackle any high-performance computing project with modern CPU and GPU hardware. Get under the hood of parallel computing architecture and learn to evaluate hardware performance, scale up your resources to tackle larger problem sizes, and deliver a level of energy efficiency that makes high performance possible on hand-held devices. When you''re done, you''ll be able to build parallel programs that are reliable, robust, and require minimal code maintenance. This book is unique in its breadth, with discussions of parallel algorithms, techniques to successfully develop parallel programs, and wide coverage of the most effective languages for the CPU and GPU. The programming paradigms include MPI, OpenMP threading, and vectorization for the CPU. For the GPU, the book covers OpenMP and OpenACC directive-based approaches and the native-based CUDA and OpenCL languages. what''s inside Steps for planning a new parallel project Choosing the right data structures and algorithms Addressing underperforming kernels and loops The differences in CPU and GPU architecture about the reader For experienced programmers with proficiency in a high performance computing language such as C, C++, or Fortran. about the authors Robert Robey has been active in the field of parallel computing for over 30 years. He works at Los Alamos National Laboratory, and has previously worked at the University of New Mexico, where he started up the Albuquerque High Performance Computing Center. Yuliana Zamora has lectured on efficient programming of modern hardware at national conferences, based on her work developing applications running on tens of thousands of processing cores and the latest GPU architectures.

Handbook of Computational Statistics

Author : James E. Gentle,Wolfgang Karl Härdle,Yuichi Mori
Publisher : Springer Science & Business Media
Page : 1180 pages
File Size : 45,9 Mb
Release : 2012-07-06
Category : Computers
ISBN : 9783642215513

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Handbook of Computational Statistics by James E. Gentle,Wolfgang Karl Härdle,Yuichi Mori Pdf

The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with "How Computational Statistics became the backbone of modern data science" (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current active research. The second part (Chs. 2 - 15) presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies for transformation, database handling, high-dimensional data and graphics treatment are discussed. The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Lastly, a set of selected applications (Chs. 34 - 38) like Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of computational statistics in real-world applications.

Handbook on Parallel and Distributed Processing

Author : Jacek Blazewicz,Klaus Ecker,Brigitte Plateau,Denis Trystram
Publisher : Springer Science & Business Media
Page : 645 pages
File Size : 50,8 Mb
Release : 2013-03-09
Category : Computers
ISBN : 9783662043035

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Handbook on Parallel and Distributed Processing by Jacek Blazewicz,Klaus Ecker,Brigitte Plateau,Denis Trystram Pdf

Here, authors from academia and practice provide practitioners, scientists and graduates with basic methods and paradigms, as well as important issues and trends across the spectrum of parallel and distributed processing. In particular, they cover such fundamental topics as efficient parallel algorithms, languages for parallel processing, parallel operating systems, architecture of parallel and distributed systems, management of resources, tools for parallel computing, parallel database systems and multimedia object servers, as well as the relevant networking aspects. A chapter is dedicated to each of parallel and distributed scientific computing, high-performance computing in molecular sciences, and multimedia applications for parallel and distributed systems.

FORTRAN 95 Language Guide

Author : Wilhelm Gehrke
Publisher : Unknown
Page : 414 pages
File Size : 55,6 Mb
Release : 2014-01-15
Category : Electronic
ISBN : 1447110269

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FORTRAN 95 Language Guide by Wilhelm Gehrke Pdf

Introduction to High Performance Scientific Computing

Author : Victor Eijkhout
Publisher : Lulu.com
Page : 536 pages
File Size : 55,6 Mb
Release : 2010
Category : Algebras, Linear
ISBN : 9781257992546

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Introduction to High Performance Scientific Computing by Victor Eijkhout Pdf

This is a textbook that teaches the bridging topics between numerical analysis, parallel computing, code performance, large scale applications.

Fortran 95 Language Guide

Author : Wilhelm Gehrke
Publisher : Springer Science & Business Media
Page : 411 pages
File Size : 53,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447110255

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Fortran 95 Language Guide by Wilhelm Gehrke Pdf

Fortran is one of the most widely used programming languages in science and engineering. Fortran 90 replaced the outmoded FORTRAN 77 in 1991 and this recent version of the International Standard enhances this version. It also includes several new features to ensure that Fortran continues to be aligned with High Performance Fortran (HPF) for parallel computer architectures. Fortran 95 Language Guide will serve as a language reference manual for programmers, provide teaching material for introductory courses in Fortran programming, and give help to experienced Fortran programmers migrating to the new standard. Gehrke has provided a comprehensive and easy-to-understand description of the Fortran 95 programming language as defined by the ISO, which will be welcomed by both practitioners and students alike.

High Performance Computing: Technology, Methods and Applications

Author : J.J. Dongarra,L. Grandinetti,J. Kowalik,G.R. Joubert
Publisher : Elsevier
Page : 426 pages
File Size : 51,7 Mb
Release : 1995-09-13
Category : Computers
ISBN : 0080553915

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High Performance Computing: Technology, Methods and Applications by J.J. Dongarra,L. Grandinetti,J. Kowalik,G.R. Joubert Pdf

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.

Software Optimization for High-performance Computing

Author : Kevin R. Wadleigh,Isom L. Crawford
Publisher : Prentice Hall Professional
Page : 414 pages
File Size : 54,6 Mb
Release : 2000
Category : Computers
ISBN : 0130170089

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Software Optimization for High-performance Computing by Kevin R. Wadleigh,Isom L. Crawford Pdf

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.

High Performance Computing - HiPC 2001

Author : Burkhard Monien,Viktor K. Prasanna,Sriram Vajapeyam
Publisher : Springer
Page : 438 pages
File Size : 51,8 Mb
Release : 2003-06-30
Category : Computers
ISBN : 9783540453079

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High Performance Computing - HiPC 2001 by Burkhard Monien,Viktor K. Prasanna,Sriram Vajapeyam Pdf

This book constitutes the refereed proceedings of the 8th International Conference on High Performance Computing, HiPC 2001, held in Hyderabad, India, in December 2001.The 29 revised full papers presented together with 5 keynote papers and 3 invited papers were carefully reviewed and selected from 108 submissions. The papers are organized in topical sections on algorithms, applications, architecture, systems software, communications networks, and challenges in networking.

Handbook of Parallel Computing and Statistics

Author : Erricos John Kontoghiorghes
Publisher : CRC Press
Page : 560 pages
File Size : 40,5 Mb
Release : 2005-12-21
Category : Computers
ISBN : 1420028685

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Handbook of Parallel Computing and Statistics by Erricos John Kontoghiorghes Pdf

Technological improvements continue to push back the frontier of processor speed in modern computers. Unfortunately, the computational intensity demanded by modern research problems grows even faster. Parallel computing has emerged as the most successful bridge to this computational gap, and many popular solutions have emerged based on its concepts