This paper presents an experience in use of a parallel mathematical library, ScaLAPACK, on a network composed by heterogeneous workstations. The good performance results have been obtained by means of a distributed programming environment which is able to dynamically evaluate available computing power at each workstation and to distribute accordingly the set of parallel processes
