000			03060nam a22003735i 4500
999			_c103761 _d103761
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003			DE-He213
005			20230102113145.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			150730s2015 gw | s |||| 0|eng d
020			_a9783319154077
024	7		_a10.1007/978-3-319-15407-7 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK7895.G36 _bF643 2015 EB
245	1	0	_aFPGA Based Accelerators for Financial Applications _cedited by Christian De Schryver.
250			_a1st edition
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XVIII, 273 páginas 72 ilustraciones, 47 ilustraciones a color.)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
490	0		_aEngineering (Springer-11647)
505	0		_a10 Computational Challenges in Finance -- From model to application: calibration to market data -- Comparative study of acceleration platforms for Heston's stochastic volatility model -- Towards Automated Benchmarking and Evaluation of Heterogeneous Systems in Finance -- Is High Level Synthesis ready for business? An Option Pricing Case Study -- High-Bandwidth Low-Latency Interfacing with FPGA Accelerators Using PCI Express -- Pricing High-Dimensional American Options on Hybrid CPU/FPGA Systems -- Bringing Flexibility to FPGA Based Pricing Systems -- Exploiting mixed-precision arithmetics in a multilevel Monte Carlo approach on FPGAs -- Accelerating Closed-Form Heston Prices for Calibration.
520	3		_aThis 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.
988			_aEBSPRINGER_2018
650		7	_2embne _9153705 _aComponentes electrónicos
700	1		_aDe Schryver, Christian. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/57404743/
776	0	8	_iEdición impresa: _z9783319154060
776	0	8	_iEdición impresa: _z9783319154084
776	0	8	_iEdición impresa: _z9783319362786
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-15407-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE