Performance of parallel workload is heavily in uenced by h o w its own characteristics match the systems. Experimental approaches are particularly suitable, although di cult, for studying the behavior of the programs. The raw data collected by monitoring tools on real systems need to be processed for obtaining meaningful and easy{to{interpret information usable in identifying sources of poor performance. MEDEA (MEasurements Description, Evaluation and Analysis) is a software tool which meets such objectives. It has been designed as the natural extension of monitors in that it is typically used in strict conjunction with them. Various statistical and numerical techniques are applied to the collected data for deriving compact descriptions of the load, i.e., models, able to capture and reproduce its behavior. Visualization facilities are an integral part of our tool. As applications of MEDEA, a kernel and two real life programs (i.e., climate modelling and turbulent o w) running in di erent e n vironments are analyzed. Hints about possible code
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