Greg Eisenhauer

Principal Research Scientist

School of Computer Science | Georgia Tech

Research Focus

My work centers on the development of high-performance middleware and scalable data movement architectures for exascale computing. I am particularly interested in bridging the gap between massive-scale computation and data analysis through in-situ processing and asynchronous data streaming.

By leveraging techniques like dynamic code generation and adaptable I/O frameworks, I investigate how scientific applications can bypass traditional filesystem bottlenecks to achieve real-time data coupling in high-concurrency environments.

Recent Publications

HPC I/O Innovations in the Exascale Era International Journal of High Performance Computing Applications, 2025.
Streaming Data in HPC Workflows using ADIOS Cray User Group (CUG), 2024.
Optimizing Metadata Exchange: Leveraging DAOS for ADIOS ISC High Performance, 2024.

Full Publication List on Google Scholar →