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Many types of stochastic algorithms, such as Monte-Carlosimulations and Bit-Error-Rate testing, require veryhigh run-times and are often trivially parallelisable, so are natural candidates for execution using FPGAs. However, the applications are reliant on Gaussian Random Number Generators (GRNGs) with good statistical properties, as very small biases over trillions of random samples can lead to incorrect...
The National Institute of Standards and Technology administers quality assurance programs devoted to improving measurements of nutrients and related metabolites in foods, dietary supplements, and serum and plasma samples. These programs have been developed in collaboration with the National Institutes of Health to assist measurement communities in their efforts to achieve accurate results that are...
A number of different numerical methods for accelerating financial option pricing using FPGAs have recently been investigated, such as Monte-Carlo, finite-difference, quadrature, and binomial trees. However, these papers only compare acceleration of each method against the same method in software, and do not consider a more important practical question, which is to identify the method that provides...
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