FPGA Based Accelerators for Financial Applications - Brossura

Brossura

ISBN 10: 331936278X ISBN 13: 9783319362786

Casa editrice: Springer, 2016

Riassunto

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.

Su questo libro

Informazioni sull'autore

Dr.-Ing. Christian De Schryver graduated in Information Technology in 2008 and received a PhD in Electrical Engineering in 2014, both from the University in Kaiserslautern, Germany. At this place, he is currently a Post-Doc and Senior Member of the Customized High Performance Computing (CHPC) research team within the Microelectronic Systems Design Research Group headed by Prof. Dr. Norbert Wehn. His research interests are design methodologies for application-tailored heterogeneous execution platforms, hardware accelerators for supercomputing applications (in particular finance and big data processing) and system-level design flows.

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 331936278X
• ISBN 13: 9783319362786
• Rilegatura: Copertina flessibile
• Numero di pagine: 292
• Redattore: De Schryver Christian
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Germania