Efficient use of parallel libraries on heterogeneous Networks of Workstations

The paper is motivated by efficiency considerations about porting mathematical software from Massively Parallel Processors (MPPs) to Networks of Workstations (NOWs). Heterogeneity of the network is the major obstacle to efficient porting: it can be overcome with a specialized system, Programming envIronment for Network of COmputers (PINCO), for monitoring available computational power at different nodes, both statically and dynamically. The structure and functionalities of PINCO are outlined, and a significant porting example, matrix multiplication, is presented.