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FPGA Based Accelerators for Financial Applications (Hardcover, 1st ed. 2015): Christian De Schryver FPGA Based Accelerators for Financial Applications (Hardcover, 1st ed. 2015)
Christian De Schryver
R3,560 Discovery Miles 35 600 Ships in 10 - 15 working days

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.

FPGA Based Accelerators for Financial Applications (Paperback, Softcover reprint of the original 1st ed. 2015): Christian De... FPGA Based Accelerators for Financial Applications (Paperback, Softcover reprint of the original 1st ed. 2015)
Christian De Schryver
R3,335 Discovery Miles 33 350 Ships in 10 - 15 working days

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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