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Dr. Eisenhauer's research targets high-performance and ubiquitous applications. Specific topics include: online program monitoring, tuning and steering; dynamic program adaptation; performance evaluation; scientific computing; high performance communication systems; evolution in communicating applications; meta-data in communication; dynamic code generation; quality of service management in operating systems, networks, middleware and software tools. His research has been supported by NSF, DOE, DARPA and through industry grants.
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SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysispp.1223-1228, (2023)
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Minhui Xue,Surya Nepal,Ling Liu, Subbu Sethuvenkatraman,Xingliang Yuan,Carsten Rudolph,Ruoxi Sun,Greg Eisenhauer
2023 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA) (2023): 13-22
In Situ Visualization for Computational Sciencepp.233-254, (2022)
Journal of Physics: Conference Seriesno. 1 (2022)
Franz Poeschel, Juncheng E,William F. Godoy,Norbert Podhorszki,Scott Klasky,Greg Eisenhauer,Philip E. Davis,Lipeng Wan,Ana Gainaru,Junmin Gu, Fabian Koller,René Widera,
DRIVING SCIENTIFIC AND ENGINEERING DISCOVERIES THROUGH THE INTEGRATION OF EXPERIMENT, BIG DATA, AND MODELING AND SIMULATION (2022): 99-118
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (2022)
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