The Array-OL specification model has been introduced to model systematic signal processing applications. This model is multidimensional and allows to express the full potential parallelism of an application: both task and data parallelism. The Array-OL language is an expression of data-dependences and thus allows many execution orders. In order to execute Array-OL applications on distributed architectures, we show here how to project such specification onto the Kahn process network model of computation. We show how Array-OL code transformations allow to choose a projection adapted to the target architecture. An experiment on a distributed process network implementation based on CORBA concludes this article.