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.
