  Research toward powerful information processing systems that circumvent the
interconnect bottleneck by exploiting the nonlinear evolution of multiple phase
dynamics in locally connected arrays is discussed. We focus on a scheme in
which logic states are defined by the electrical phase of a dynamic process and
information processing is realized through interactions between the elements in
the array. Simulation results are given for networks comprised of neuron-like
integrate-and-fire elements, which could potentially be implemented by
ultra-small tunnel junctions, molecules and other types of nanoscale elements.
This approach could lead to powerful information processing systems due to
massive parallelism in simple, highly scalable nano-architectures. The rational
for this approach, its advantages, simulation results, critical issues, and
future research directions are discussed.
