  The abstraction introduced by von Neumann correctly reflected the state of
the art 70 years ago.
  Although it omitted data transmission time between components of the
computer, it served as an excellent base for classic computing for decades.
  Modern computer components and architectures, however, require to consider
their temporal behavior: data transmission time in contemporary systems may be
higher than their processing time.
  Using the classic paradigm leaves some issues unexplained, from enormously
high power consumption to days-long training of artificial neural networks to
failures of some cutting-edge supercomputer projects.
  The paper introduces the up to now missing timely behavior (a temporal logic)
into computing, while keeps the solid computing science base.
  The careful analysis discovers that with considering the timely behavior of
components and architectural principles, the mystic issues have a trivial
explanation.
  Some classic design principles must be revised, and the temporal logic
enables us to design a more powerful and efficient computing.
