**
Parallel Software to Offset the Cost of Higher Precision
**

*Jan Verschelde*

#### Abstract:

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.