We describe how a recently published algorithm--which addresses the sign problem with the context of the Green's function Monte Carlo method--can be implemented in a parallel distributed environment. The method of parallelization maintains large granularity and therefore low overhead. Despite the stochastic nature of the algorithm, good load-balancing can be accomplished and reproducibility is ensured.