  Hardware double precision is often insufficient to solve large scientific
problems accurately. Computing in higher precision defined by software causes
significant computational overhead. The application of parallel algorithms
compensates for this overhead. Newton's method to develop power series
expansions of algebraic space curves is the use case for this application.
