This paper describes the parallelization of the low-rank ADI iteration for the solution of large-scale, sparse Lyapunov equations. The only relevant operations involved in the method are matrix-vector products and the solution of linear systems. Experimental results on a cluster, using the SuperLU library, show the performance of this approach.