  Full scale simulations of neuronal network models of the brain are
challenging due to the high density of connections between neurons. This
contribution reports run times shorter than the simulated span of biological
time for a full scale model of the local cortical microcircuit with explicit
representation of synapses on a recent conventional compute node. Realtime
performance is relevant for robotics and closed-loop applications while
sub-realtime is desirable for the study of learning and development in the
brain, processes extending over hours and days of biological time.
