Epiphany Questions

[piotr5]

I read newest amd-processors have the possibility to run code on a set of just 16 input data, I'd say this is the platform you want for your genetic algorithm. and even if you do lots of iterations on a small set of children, with large gpu you could do it fast by stacking your iterations:

run m/n children, then do the next iteration for c children while at the same time running previous iteration for another m/n, dropping some of the c children if their performance from previous iteration wasn't enough. with each iteration you'll have to handle more and more generations in parallell till you max out the number of cores, at which point all children will have been tested for the previous iteration.

but if you insist on usung parallella for genetic AI, you could use a similar strategy, this time with compression of data in mind when choosing which children to run in parallell...