The processing and analysis of massive data as part of scientific problem solving require powerful high performance computing as well as enormous high speed storage and memory. In addition, some problems for which the data size is small may also require high performance computing due to processing complexity. At UConn, many researchers employ parallel computational techniques to solve problems, and they are reliant upon UConn’s high performance computing (HPC) capabilities to carry out their work.