This approach shares a lot in common with the idea of multivariate interpolation over scattered data. Multivariate interpolation attempts to estimate values at unknown points within an existing data set and is often used in fields such as geostatistics or for geophysical analysis like elevation modelling. We can think of our colour palette as the set of variables we want to interpolate from, and our input colour as the unknown we’re trying to estimate. We can borrow some ideas from multivariate interpolation to develop more effective dithering algorithms.
Three microcode cycles for the writeback alone. That's acceptable because segment loads are already expensive multi-cycle operations, and the designers likely expected them to be infrequent -- most programs load their segments once at startup and never touch them again. Page translations happen on every memory access, so the same approach would be ruinous. Hence the fully autonomous hardware walker.
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"This sort of semiconductor would go on to be in the 5G tower in which you get your mobile phone signal, it's going to be in the car charger you plug an EV into, it's going to be in the latest planes."
"We are quite different people - very much yin and yang - but I think decisions are better made with two brains rather than one as it stops hubris," says Begg, who is London-based.
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