Titlebook: Next Generation Arithmetic; 4th International Co John Gustafson,Siew Hoon Leong,Marek Michalewicz Conference proceedings 2023 The Editor(s)

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Raul Murillo,David Mallasén,Alberto A. Del Barrio,Guillermo Botella to choose the production commitments that maximize the retailer’s expected gross profit, given market demand forecasts and vendors’ capacity and flexibility constraints. The model has been incorporated into a PC-based decision support system called the . (SAM). This was developed in collaboration w

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etting model to decide the manufacturer’s compensation scheme for the services provided by its in dependent distributors. Next, we address a tactical distribution planning problem, incorporating resource acquisition and deployment decisions, for scheduled deliveries when demand is highly variable. L

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,Bedot: Bit Efficient Dot Product for Deep Generative Models, unit in deep learning applications. The unit is built using a hardware-software co-design strategy that minimizes the set of represented real values and energy consumed. We target larger and more complex deep learning applications domains than those explored in previous related works, namely genera

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,Decoding-Free Two-Input Arithmetic for Low-Precision Real Numbers,re mapped to a particularly-chosen set of integer numbers. We theoretically prove that this mapping always exists and that we can implement any kind of binary operation between real numbers regardless of the encoding format. While the real numbers in the set can be arbitrary (rational, irrational, t

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