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Parallel Computing Simply In Depth

Parallel Computing Simply In Depth
Author: Prof Bal Gangadhar Prasad
Publisher:
Total Pages: 136
Release: 2018-07-04
Genre:
ISBN: 9781983353420

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This book is an introduction to the emerging world of the Parallel Computing. It helps you understand the principles, algorithm & implementation of Parallel Computing. Our aim is for you to gain sufficient knowledge and experience with Parallel Computing using the best up-to-date techniques and we just aim for it to be the easiest book from which you can learn the Parallel Computing. We chose the topics for this book to cover what is needed to get started with Parallel Computing, not just what is easy to teach and learn. On the other hand, we won't waste your time with material of marginal practical importance. If an idea is explained here, it's because you'll almost certainly need it.This book is emphatically focused on "the concept". Understanding the fundamental ideas, principles, and techniques is the essence of a good programmer. Only well-designed code has a chance of becoming part of a correct, reliable, and maintainable parallel system. Through this book, we hope that you will see the absolute necessity of understanding Parallel Computing. We also included an implementation of parallel program using MPICH and Code:: Block which is string feature of this book.


Programming Massively Parallel Processors

Programming Massively Parallel Processors
Author: David B. Kirk
Publisher: Newnes
Total Pages: 519
Release: 2012-12-31
Genre: Computers
ISBN: 0123914183

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Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing


Cloud Computing Simply in Depth

Cloud Computing Simply in Depth
Author: Sudhir Kumar Sinha
Publisher: Independently Published
Total Pages: 136
Release: 2018-10-13
Genre: Computers
ISBN: 9781728760414

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Cloud computing is considered the evolution of a variety of technologies that have come together to change an organizations' approach for building their IT infrastructure. Actually, there is nothing new in any of the technologies that are used in the cloud computing where most of these technologies have been known for ages. It is all about making them all accessible to the masses under the name of cloud computing. Cloud is not simply the latest term for the Internet, though the Internet is a necessary foundation for the cloud, the cloud is something more than the Internet. The cloud is where you go to use technology when you need it, for as long as you need it. You do not install anything on your desktop, and you do not pay for the technology when you are not using it.This book is emphatically focused on "the concept". Understanding the fundamental ideas, principles, and techniques is the essence of a good implementation of cloud computing. Through this book, we hope that you will see the absolute necessity of understanding Cloud Computing. This textbook is intended as a guide for an explanatory course of Cloud Computing for the Graduate and Post Graduate Students of several universities across the world.


Distributed Computing Simply in Depth

Distributed Computing Simply in Depth
Author: Rupashree Singh
Publisher: Independently Published
Total Pages: 104
Release: 2018-04-25
Genre: Education
ISBN: 9781980929369

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The book aims to provide an understanding of the principles on which the distributed systems are based; their architecture, algorithms and design; and how it meet the demands of contemporary distributed applications. We begin with a set of nine chapters that together cover the building blocks for a study of distributed systems. This book is designed and written for under graduate and post graduate students. It can equally be used for self-study. We take a top-down approach, addressing the issues to be resolved in the design of distributed systems and describing successful approaches in the form of abstract models, algorithms and detailed case studies of widely used systems.


Introduction to Parallel Computing

Introduction to Parallel Computing
Author: Ananth Grama
Publisher: Pearson Education
Total Pages: 664
Release: 2003
Genre: Computers
ISBN: 9780201648652

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A complete source of information on almost all aspects of parallel computing from introduction, to architectures, to programming paradigms, to algorithms, to programming standards. It covers traditional Computer Science algorithms, scientific computing algorithms and data intensive algorithms.


Structured Parallel Programming

Structured Parallel Programming
Author: Michael McCool
Publisher: Elsevier
Total 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


Patterns for Parallel Programming

Patterns for Parallel Programming
Author: Timothy G. Mattson
Publisher: Pearson Education
Total Pages: 786
Release: 2004-09-15
Genre: Computers
ISBN: 0321630033

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The Parallel Programming Guide for Every Software Developer From grids and clusters to next-generation game consoles, parallel computing is going mainstream. Innovations such as Hyper-Threading Technology, HyperTransport Technology, and multicore microprocessors from IBM, Intel, and Sun are accelerating the movement's growth. Only one thing is missing: programmers with the skills to meet the soaring demand for parallel software. That's where Patterns for Parallel Programming comes in. It's the first parallel programming guide written specifically to serve working software developers, not just computer scientists. The authors introduce a complete, highly accessible pattern language that will help any experienced developer "think parallel"-and start writing effective parallel code almost immediately. Instead of formal theory, they deliver proven solutions to the challenges faced by parallel programmers, and pragmatic guidance for using today's parallel APIs in the real world. Coverage includes: Understanding the parallel computing landscape and the challenges faced by parallel developers Finding the concurrency in a software design problem and decomposing it into concurrent tasks Managing the use of data across tasks Creating an algorithm structure that effectively exploits the concurrency you've identified Connecting your algorithmic structures to the APIs needed to implement them Specific software constructs for implementing parallel programs Working with today's leading parallel programming environments: OpenMP, MPI, and Java Patterns have helped thousands of programmers master object-oriented development and other complex programming technologies. With this book, you will learn that they're the best way to master parallel programming too.


Parallel And Distributed Computing

Parallel And Distributed Computing
Author: Ajit Singh
Publisher: Independently Published
Total Pages: 218
Release: 2021-08-25
Genre:
ISBN:

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This book is an introduction to the complex and emerging world of the Parallel and Distributed Computing. It helps you understand the principles and acquire the practical skills of MPI programming using the C/FORTAN programming language. My aim is for you to gain sufficient knowledge and experience to perform simple useful programming tasks using the best up-to-date techniques and so I hope for it to be the easiest book from which you can learn the basics of MPI programming. It helps you understand the principles, algorithm & implementation of Parallel and Distributed Computing. This book is emphatically focused on the concept. Understanding the fundamental ideas, principles, and techniques is the essence of a good programmer. Only well-designed code has a chance of becoming part of a correct, reliable, and maintainable parallel and distributed system. Through this book, I hope that you will see the absolute necessity of understanding Parallel and Distributed Computing. I have taken a top-down approach, addressing the issues to be resolved in the design of distributed systems and describing successful approaches in the form of abstract models, algorithms and detailed case studies of widely used systems. The book aims to provide an understanding of the principles on which the parallel and distributed computing are based; their architecture, algorithms and design; and how it meets the demands of contemporary parallel and distributed applications. I began with a set of several chapters that together cover the building blocks for a study of parallel and distributed systems. The first few chapters provide a conceptual overview of the subject, outlining the characteristics of parallel and distributed systems and the challenges that must be addressed in their design: scalability, heterogeneity, security and failure handling being the most significant. These chapters also develop abstract models for understanding process interaction, failure and security. Simply In Depth....


Introduction to Parallel Programming

Introduction to Parallel Programming
Author: Subodh Kumar
Publisher: Cambridge University Press
Total 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.


Parallel Computer Organization and Design

Parallel Computer Organization and Design
Author: Michel Dubois
Publisher: Cambridge University Press
Total Pages: 561
Release: 2012-08-30
Genre: Computers
ISBN: 1139560344

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Teaching fundamental design concepts and the challenges of emerging technology, this textbook prepares students for a career designing the computer systems of the future. In-depth coverage of complexity, power, reliability and performance, coupled with treatment of parallelism at all levels, including ILP and TLP, provides the state-of-the-art training that students need. The whole gamut of parallel architecture design options is explained, from core microarchitecture to chip multiprocessors to large-scale multiprocessor systems. All the chapters are self-contained, yet concise enough that the material can be taught in a single semester, making it perfect for use in senior undergraduate and graduate computer architecture courses. The book is also teeming with practical examples to aid the learning process, showing concrete applications of definitions. With simple models and codes used throughout, all material is made open to a broad range of computer engineering/science students with only a basic knowledge of hardware and software.