High Performance Compilers for Parallel Computing

High Performance Compilers for Parallel Computing
Title High Performance Compilers for Parallel Computing PDF eBook
Author Michael Joseph Wolfe
Publisher Addison Wesley
Pages 600
Release 1996
Genre Computers
ISBN

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Software -- Operating Systems.

Languages and Compilers for Parallel Computing

Languages and Compilers for Parallel Computing
Title Languages and Compilers for Parallel Computing PDF eBook
Author Santosh Pande
Publisher Springer
Pages 165
Release 2021-03-26
Genre Computers
ISBN 9783030727888

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This book constitutes the thoroughly refereed post-conference proceedings of the 32nd International Workshop on Languages and Compilers for Parallel Computing, LCPC 2019, held in Atlanta, GA, USA, in October 2019. The 8 revised full papers and 3 revised short papers were carefully reviewed and selected from 17 submissions. The scope of the workshop includes advances in programming systems for current domains and platforms, e.g., scientific computing, batch/ streaming/ real-time data analytics, machine learning, cognitive computing, heterogeneous/ reconfigurable computing, mobile computing, cloud computing, IoT, as well as forward-looking computing domains such as analog and quantum computing.

High Performance Parallel Runtimes

High Performance Parallel Runtimes
Title High Performance Parallel Runtimes PDF eBook
Author Michael Klemm
Publisher Walter de Gruyter GmbH & Co KG
Pages 431
Release 2021-02-08
Genre Computers
ISBN 3110632896

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This book focuses on the theoretical and practical aspects of parallel programming systems for today's high performance multi-core processors and discusses the efficient implementation of key algorithms needed to implement parallel programming models. Such implementations need to take into account the specific architectural aspects of the underlying computer architecture and the features offered by the execution environment. This book briefly reviews key concepts of modern computer architecture, focusing particularly on the performance of parallel codes as well as the relevant concepts in parallel programming models. The book then turns towards the fundamental algorithms used to implement the parallel programming models and discusses how they interact with modern processors. While the book will focus on the general mechanisms, we will mostly use the Intel processor architecture to exemplify the implementation concepts discussed but will present other processor architectures where appropriate. All algorithms and concepts are discussed in an easy to understand way with many illustrative examples, figures, and source code fragments. The target audience of the book is students in Computer Science who are studying compiler construction, parallel programming, or programming systems. Software developers who have an interest in the core algorithms used to implement a parallel runtime system, or who need to educate themselves for projects that require the algorithms and concepts discussed in this book will also benefit from reading it. You can find the source code for this book at https://github.com/parallel-runtimes/lomp.

Introduction to High Performance Scientific Computing

Introduction to High Performance Scientific Computing
Title Introduction to High Performance Scientific Computing PDF eBook
Author Victor Eijkhout
Publisher Lulu.com
Pages 536
Release 2010
Genre Computers
ISBN 1257992546

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

Languages and Compilers for Parallel Computing

Languages and Compilers for Parallel Computing
Title Languages and Compilers for Parallel Computing PDF eBook
Author Barbara Chapman
Publisher Springer Nature
Pages 233
Release 2022-02-15
Genre Computers
ISBN 3030959538

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This book constitutes the thoroughly refereed post-conference proceedings of the 33rd International Workshop on Languages and Compilers for Parallel Computing, LCPC 2020, held in Stony Brook, NY, USA, in October 2020. Due to COVID-19 pandemic the conference was held virtually. The 15 revised full papers were carefully reviewed and selected from 19 submissions. The contributions were organized in topical sections named as follows: Code and Data Transformations; OpenMP and Fortran; Domain Specific Compilation; Machine Language and Quantum Computing; Performance Analysis; Code Generation.

Structured Parallel Programming

Structured Parallel Programming
Title Structured Parallel Programming PDF eBook
Author Michael McCool
Publisher Elsevier
Pages 434
Release 2012-06-25
Genre Computers
ISBN 0124159931

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Programming is now parallel programming. Much as structured programming revolutionized traditional serial programming decades ago, a new kind of structured programming, based on patterns, is relevant to parallel programming today. Parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders describe how to design and implement maintainable and efficient parallel algorithms using a pattern-based approach. They present both theory and practice, and give detailed concrete examples using multiple programming models. Examples are primarily given using two of the most popular and cutting edge programming models for parallel programming: Threading Building Blocks, and Cilk Plus. These architecture-independent models enable easy integration into existing applications, preserve investments in existing code, and speed the development of parallel applications. Examples from realistic contexts illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology. The patterns-based approach offers structure and insight that developers can apply to a variety of parallel programming models Develops a composable, structured, scalable, and machine-independent approach to parallel computing Includes detailed examples in both Cilk Plus and the latest Threading Building Blocks, which support a wide variety of computers

Introduction to Parallel Programming

Introduction to Parallel Programming
Title Introduction to Parallel Programming PDF eBook
Author Subodh Kumar
Publisher Cambridge University Press
Pages
Release 2022-07-31
Genre Computers
ISBN 1009276301

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In modern computer science, there exists no truly sequential computing system; and most advanced programming is parallel programming. This is particularly evident in modern application domains like scientific computation, data science, machine intelligence, etc. This lucid introductory textbook will be invaluable to students of computer science and technology, acting as a self-contained primer to parallel programming. It takes the reader from introduction to expertise, addressing a broad gamut of issues. It covers different parallel programming styles, describes parallel architecture, includes parallel programming frameworks and techniques, presents algorithmic and analysis techniques and discusses parallel design and performance issues. With its broad coverage, the book can be useful in a wide range of courses; and can also prove useful as a ready reckoner for professionals in the field.