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Springer FPGA Based Accelerators for Financial Applications - Springer

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Description

This comprehensive guide explores reconfigurable computing architectures and field-programmable gate arrays (FPGAs) deployed in financial applications. Written by leading experts in financial mathematics, computer architecture, and finance business, the book addresses critical challenges in modern finance IT and demonstrates how FPGAs outperform standard CPU and GPU-based computing systems, delivering energy savings of up to 99% depending on compute tasks. Readers will gain insight into advanced approaches, real-world use cases, and proven methodologies for successfully integrating FPGA technology into financial systems. The content bridges theory and practical implementation, making it essential for professionals seeking to optimise computational performance and reduce operational costs in financial technology environments.

Key Features

FPGA-based accelerators deliver superior performance compared to traditional CPU and GPU computing architectures in financial applications.

Energy efficiency savings reach up to 99% with field-programmable gate arrays depending on specific compute tasks and workloads.

Authors specialise in financial mathematics, computer architecture, and finance business to provide expert perspectives throughout.

The book addresses contemporary challenges in finance IT and presents methodologies for integrating FPGAs into existing systems.

Real-world use cases and advanced approaches illustrate how reconfigurable computing transforms financial technology deployment.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
10 August 2015
Listed Since
26 December 2014

Barcode

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