Parallel Computing Architectures and APIs

Name: Parallel Computing Architectures and APIs
Brand: Taylor & Francis Ltd
Price: 306.99 AUD
Availability: BackOrder

IoT Big Data Stream Processing

By: Vivek Kale

Write A Review

Hardcover | 2 December 2019 | Edition Number 1

At a Glance

Hardcover
406 Pages

Dimensions(cm)
25.4 x 17.8 x 3.0

Hardcover

RRP $357.00

$306.99

14%OFF

or 4 interest-free payments of $76.75 with

Available for Backorder. We will order this from our supplier however there isn't a current ETA.

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.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.