For parallel OVERFLOW on the SP2, again to compute derivatives with
respect to 3 inputs, the **ratio** of the derivative cost
to function cost remained at about 5.0, the same as for sequential
OVERFLOW. The memory requirements, however, are reduced in the sense
that each processor needs only enough memory for one zone, not the
entire grid. For instance, a single grid with 200,000 points could be
divided into 8 zones each with 25,000 points. The memory that would
have stored the extra 175,000 points can be used to store derivative
values instead. In this way, function code parallelism enables
parallel derivative calculation.

In the extreme, it may be desirable to artificially divide a grid into more zones in order to leave even more memory available for derivative computations. Of course, one must be careful to ensure that changes to the grid do not adversely affect the fidelity of the CFD solver.