L. John

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Prediction of financial time series using artificial neural networks has been the subject of many publications, even if the predictability of financial series remains a subject of scientific debate in the financial literature. Facing this difficulty, analysts often consider a large number of exogenous indicators, which makes the fitting of neural networks(More)
We study the effect of memory access ordering policies on processor performance. Relaxed ordering policies increase available instruction-level parallelism, but such policies must be evaluated subject to their effect on memory consistency — since virtually all microprocessors are designed to be compatible with shared memory multipro-cessor systems, even(More)
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