Computation by asynchronously updating cellular automata Adult home web cam sites

I have a collection of computational models that could be described as asynchronous cellular automata.

However, it looks promising so I thought I would describe it here in case anyone (a) knows of anything similar in the literature, or (b) can offer any insight into these remaining issues.

There is no relationship 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 After the iteration 0 1 1 0 0 0 0 1 1 1 0 0 0 0 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 1 0 0 0 0 1 1 0 0 This is an interesting idea, but I'm not convinced it will work very well.

The issue is that in order to finish the collision detection step, you're faced with the problem of working out whether the grid contains any 2's.

(Where $\lambda$ is a parameter whose value can be chosen arbitrarily.) At each logical time step, the cells of the SCA are updated as follows: I believe this guarantees that the cells will be updated in an order that can be "decoded" to correspond to the original ACA, while avoiding collisions and allowing some cells to be updated in parallel.

However, because of the first bullet point above, it means that most of the GPU processors will be mostly idle on each time step of the SCA, which is less than ideal.

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