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Greg Eisenhauer's research focuses on high-performance ubiquitous applications. His work addresses various critical topics such as online program monitoring, tuning steering, dynamic program adaptation, and performance evaluation. He also delves into scientific computing, high performance communication systems, and the evolution of communicating applications. With a keen interest in meta-data communication, dynamic code generation, and quality service management, his contributions span across operating systems, networks, and middleware software tools. His research is further supported by grants from notable organizations including the National Science Foundation, Department of Energy, and DARPA, along with various industry grants, reflecting his impact and active engagement in the field.
Department of Computer Science: GRE scores are optional for Fall 2026.