Search

Categories

    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss
    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss
    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss
    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss
    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss

Filter By Price

$
-
$

Dietary Needs

Top Rated Product

product-img product-img

Modern Chair

$165.00
product-img product-img

Plastic Chair

$165.00
product-img product-img

Design Rooms

$165.00

Brands

  • Wooden
  • Chair
  • Modern
  • Fabric
  • Shoulder
  • Winter
  • Accessories
  • Dress

Welcome and thank you for visiting us. For any query call us on 0799 626 359 or Email [email protected]

Shopping Cart

Africa largest book store

Sub Total:

Search for any Title

Parallel Computing Architectures and APIs : IoT Big Data Stream Processing

By: India) Kale Vivek (Author)

Manufacture on Demand

Ksh 40,550.00

Format: Hardback or Cased Book

ISBN-10: 1138553913

ISBN-13: 9781138553910

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Dec 2nd, 2019

Publication Status: Active

Product extent: 406 Pages

Weight: 928.00 grams

Dimensions (height x width x thickness): 18.40 x 26.00 x 3.00 cms

Product Classification / Subject(s): Parallel processing

Choose your Location

Shipping & Delivery

Door Delivery

Delivery fee

Delivery in 10 to 14 days

  • Description

  • Reviews

This book addresses the challenge of provisioning of parallel hardware and software enabling high-performance parallel processing in the context of requirements dictated by big data systems. It gives description of parallel programming techniques that are necessary for efficient programs for multicore processors and parallel cluster systems.

Parallel Computing Architectures and APIs: IoT Big Data Stream Processing commences from the point high-performance uniprocessors were becoming increasingly complex, expensive, and power-hungry. A basic trade-off exists between the use of one or a small number of such complex processors, at one extreme, and a moderate to very large number of simpler processors, at the other. When combined with a high-bandwidth, interprocessor communication facility leads to significant simplification of the design process. However, two major roadblocks prevent the widespread adoption of such moderately to massively parallel architectures: the interprocessor communication bottleneck, and the difficulty and high cost of algorithm/software development.

One of the most important reasons for studying parallel computing architectures is to learn how to extract the best performance from parallel systems. Specifically, you must understand its architectures so that you will be able to exploit those architectures during programming via the standardized APIs.

This book would be useful for analysts, designers and developers of high-throughput computing systems essential for big data stream processing emanating from IoT-driven cyber-physical systems (CPS).

This pragmatic book:

  • Devolves uniprocessors in terms of a ladder of abstractions to ascertain (say) performance characteristics at a particular level of abstraction

  • Explains limitations of uniprocessor high performance because of Moore’s Law

  • Introduces basics of processors, networks and distributed systems

  • Explains characteristics of parallel systems, parallel computing models and parallel algorithms

  • Explains the three primary categorical representatives of parallel computing architectures, namely, shared memory, message passing and stream processing

  • Introduces the three primary categorical representatives of parallel programming APIs, namely, OpenMP, MPI and CUDA

  • Provides an overview of Internet of Things (IoT), wireless sensor networks (WSN), sensor data processing, Big Data and stream processing

  • Provides introduction to 5G communications, Edge and Fog computing

Parallel Computing Architectures and APIs: IoT Big Data Stream Processing

discusses stream processing that enables the gathering, processing and analysis of high-volume, heterogeneous, continuous Internet of Things (IoT) big data streams, to extract insights and actionable results in real time.

Application domains requiring data stream management include military, homeland security, sensor networks, financial applications, network management, web site performance tracking, real-time credit card fraud detection, etc.

Get Parallel Computing Architectures and APIs by at the best price and quality guranteed only at Werezi Africa largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has pages. Enjoy Shopping Best Offers & Deals on books Online from Werezi - Receive at your doorstep - Fast Delivery - Secure mode of Payment

Customer Reviews

Based on 0 reviews

Mind, Body, & Spirit