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FPGA based accelerators for financial applications

This book covers the latest approaches and results from reconfigurable computing architectures employed in the finance domain. So-called field-programmable gate arrays (FPGAs) have already shown to outperform standard CPU- and GPU-based computing architectures by far, saving up to 99% of energy depe...

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Detalles Bibliográficos
Autor principal: Schryver, Christian
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-15407-7
http://cds.cern.ch/record/2040749
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author Schryver, Christian
author_facet Schryver, Christian
author_sort Schryver, Christian
collection CERN
description This book covers the latest approaches and results from reconfigurable computing architectures employed in the finance domain. So-called field-programmable gate arrays (FPGAs) have already shown to outperform standard CPU- and GPU-based computing architectures by far, saving up to 99% of energy depending on the compute tasks. Renowned authors from financial mathematics, computer architecture, and finance business introduce the readers into today’s challenges in finance IT, illustrate the most advanced approaches and use cases, and present currently known methodologies for integrating FPGAs in finance systems together with latest results. The complete algorithm-to-hardware flow is covered holistically, so this book serves as a hands-on guide for IT managers, researchers, and quants/programmers who think about integrating FPGAs into their current IT systems.
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institution Organización Europea para la Investigación Nuclear
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spelling cern-20407492021-04-21T20:08:37Zdoi:10.1007/978-3-319-15407-7http://cds.cern.ch/record/2040749engSchryver, ChristianFPGA based accelerators for financial applicationsEngineeringThis book covers the latest approaches and results from reconfigurable computing architectures employed in the finance domain. So-called field-programmable gate arrays (FPGAs) have already shown to outperform standard CPU- and GPU-based computing architectures by far, saving up to 99% of energy depending on the compute tasks. Renowned authors from financial mathematics, computer architecture, and finance business introduce the readers into today’s challenges in finance IT, illustrate the most advanced approaches and use cases, and present currently known methodologies for integrating FPGAs in finance systems together with latest results. The complete algorithm-to-hardware flow is covered holistically, so this book serves as a hands-on guide for IT managers, researchers, and quants/programmers who think about integrating FPGAs into their current IT systems.Springeroai:cds.cern.ch:20407492015
spellingShingle Engineering
Schryver, Christian
FPGA based accelerators for financial applications
title FPGA based accelerators for financial applications
title_full FPGA based accelerators for financial applications
title_fullStr FPGA based accelerators for financial applications
title_full_unstemmed FPGA based accelerators for financial applications
title_short FPGA based accelerators for financial applications
title_sort fpga based accelerators for financial applications
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-15407-7
http://cds.cern.ch/record/2040749
work_keys_str_mv AT schryverchristian fpgabasedacceleratorsforfinancialapplications