In this article we consider strategies for exploiting supercomputer technology in solving the
sparse matrix problems arising in process simulation and optimization. A new multifrontal
solver for use in simulating equilibrium-stage processes and a new parallel frontal solver for
large-grained parallel solution of process simulation and optimization problems are described.
Results for several problems, including large-scale industrial problems, are given.