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Descripción
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| In this work we present how variance reduction techniques can be applied to Monte Carlo simulations on an FPGA platform. Variance reduction techniques improve the accuracy of Monte Carlo simulations without increasing the number of individual simulations required, and consequently, the time and resources needed. Two techniques, Stratified Sampling and Latin Hypercube, have been implemented with a parameterizable architecture that additionally allows different configurations. To verify the proposed approach we have integrated these techniques on an FPGA Gaussian Random Number Generator, obtaining a complete a hardware accelerator for Monte Carlo simulations. | |
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Internacional
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Si |
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Nombre congreso
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Electronics, Circuits and Systems, 2008. ICECS 2008. 15th IEEE International Conference on |
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Tipo de participación
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960 |
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Lugar del congreso
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Revisores
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No |
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ISBN o ISSN
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978-1-4244-2181-7 |
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DOI
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Fecha inicio congreso
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31/08/2008 |
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Fecha fin congreso
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03/09/2008 |
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Desde la página
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1296 |
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Hasta la página
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1299 |
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Título de las actas
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Electronics, Circuits and Systems, 2008. ICECS 2008. 15th IEEE International Conference on |