The overall objective of these studies is to systematically investigate and understand the various factors that affect the performance and scalability of "data crunching" applications on high performance parallel machines. The goal is to then use this information to help guide the design of future generations of scalable parallel systems and software that will effectively support BOTH compute and data intensive applications. Some of the questions we hope to answer as a result of these studies are listed below.