Implementing Parallel and Distributed Systems
eBook - ePub

Implementing Parallel and Distributed Systems

  1. 402 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Implementing Parallel and Distributed Systems

About this book

Parallel and distributed systems (PADS) have evolved from the early days of computational science and supercomputers to a wide range of novel computing paradigms, each of which is exploited to tackle specific problems or application needs, including distributed systems, parallel computing, and cluster computing, generally called high-performance computing (HPC). Grid, Cloud, and Fog computing patterns are the most important of these PADS paradigms, which share common concepts in practice.

Many-core architectures, multi-core cluster-based supercomputers, and Cloud Computing paradigms in this era of exascale computers have tremendously influenced the way computing is applied in science and academia (e.g., scientific computing and large-scale simulations). Implementing Parallel and Distributed Systems presents a PADS infrastructure known as Parvicursor that can facilitate the construction of such scalable and high-performance parallel distributed systems as HPC, Grid, and Cloud Computing.

This book covers parallel programming models, techniques, tools, development frameworks, and advanced concepts of parallel computer systems used in the construction of distributed and HPC systems. It specifies a roadmap for developing high-performance client-server applications for distributed environments and supplies step-by-step procedures for constructing a native and object-oriented C++ platform.

FEATURES:

  • Hardware and software perspectives on parallelism
  • Parallel programming many-core processors, computer networks and storage systems
  • Parvicursor.NET Framework: a partial, native, and cross-platform C++ implementation of the .NET Framework
  • xThread: a distributed thread programming model by combining thread-level parallelism and distributed memory programming models
  • xDFS: a native cross-platform framework for efficient file transfer
  • Parallel programming for HPC systems and supercomputers using message passing interface (MPI)

Focusing on data transmission speed that exploits the computing power of multicore processors and cutting-edge system-on-chip (SoC) architectures, it explains how to implement an energy-efficient infrastructure and examines distributing threads amongst Cloud nodes. Taking a solid approach to design and implementation, this book is a complete reference for designing, implementing, and deploying these very complicated systems.

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Yes, you can access Implementing Parallel and Distributed Systems by Alireza Poshtkohi,M. B. Ghaznavi-Ghoushchi in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half Title page
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Contents
  7. Preface
  8. Acknowledgement
  9. Authors
  10. Chapter 1 Introduction
  11. Chapter 2 IoT and Distributed Systems
  12. Chapter 3 Advanced Operating System Concepts in Distributed Systems Design
  13. Chapter 4 Parallelism for the Many-Core Era: Hardware and Software Perspectives
  14. Chapter 5 Parallelisation for the Many-Core Era: A Programming Perspective
  15. Chapter 6 Storage Systems: A Parallel Programming Perspective
  16. Chapter 7 Computer Networks: A Parallel Programming Approach
  17. Chapter 8 Parvicursor.NET Framework: A Partial, Native, and Cross-Platform C++ Implementation of the .NET Framework
  18. Chapter 9 Parvicursor Infrastructure to Facilitate the Design of Grid/Cloud Computing and HPC Systems
  19. Chapter 10 xDFS: A Native Cross-Platform Framework for Efficient File Transfers in Dynamic Cloud/Internet Environments
  20. Chapter 11 Parallel Programming Languages for High-Performance Computing
  21. Index