£100.00

CRC Press Parallel Computing Architectures and APIs Book

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Description

Explore the evolution of high-performance computing with Parallel Computing Architectures and APIs: IoT Big Data Stream Processing. This technical resource from CRC Press examines the shift from complex, power-hungry uniprocessors to more efficient models. It addresses the fundamental trade-off between using a few expensive processors versus a large number of simpler processors. As hardware becomes more complex, the book investigates how combining many simpler processors with high-bandwidth, interprocessor communication facilities can simplify the design process. This text provides a foundation for understanding the architectures required to handle the demands of IoT and Big Data stream processing. It is a valuable resource for those studying computer science, microprocessors, and the technical roadblocks facing widespread parallel architecture adoption.

Key Features

Examines the transition from complex uniprocessors to simpler, more efficient processor models.

Analyzes the trade-offs between high-cost individual processors and large-scale simple processor arrays.

Covers the role of high-bandwidth interprocessor communication in simplifying system design.

Provides technical context for IoT and Big Data stream processing architectures.

Addresses the major roadblocks preventing the widespread adoption of parallel computing technologies.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
02 December 2019
Listed Since
24 July 2019

Barcode

No barcode data available

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