On Multi-scale parallel simulation of  complex systems

1) Turbulence
vortices from Kolmogrov disspative scale to large energy containing scale
2) Protein folding
from individual amino acids to protein peptide chains
3) Networked Neuronal cells/Human mind
from neurons to groups of neurons to the brain
from segments of  symbols to consciousness
Conciousness of a neuron and conciousness of group of neurons and conciousness of the whole brain.

Kowledge creation in a cell-network
Every cell has conciousness.
Every cell learns.
biological evolution=KC=recorded in DNA
KC is exponential in the network=Intelligence with exponential growth rate
Entropy of these system decreases as they grow in their complexity. When their entropy reaches maximum, they becomes disintegrated.

A multi-scale simulation approach is necessary in order to resolve the interaction between the scales and to correctly predict global behaviors.
Blindman's search and visvual search: why protein folding in nature is fast nd easy but impossible on computers.
massively parallel simulation is the only viable approach for a system that grows at exponential rates.