research
supported by NSF and DOE in collaboration with various research institutions
“How can we design intelligent, adaptive data management systems that leverage heterogeneous storage and I/O technologies to optimize applications performance and accelerate scientific discovery?”
Ongoing
Completed
Exploratory
research portfolio (2018 - present)
my research focuses on advancing the capabilities of high-performance computing (hpc) and intelligent data management systems
-
foundation (2018-2020) focused on tackling core challenges in hpc storage with hermes and iris. these projects laid critical groundwork for intelligent i/o buffering, unified data access, and adaptability in multi-tiered environments, backed by $3.4m in nsf funding.
-
innovation & growth (2021-2022) explored real-time processing and metadata management through chronolog and coeus. this phase introduced real-time capabilities into hpc systems, enabling sub-millisecond latencies and stronger ai/ml integration, with $7m in funding and expanded collaboration with national labs.
-
ecosystem development (2023-present) integrating multiple research initiatives such as iowarp, labios, and dtio into a comprehensive hpc ecosystem. the focus is on adaptive storage that meets the demands of both traditional hpc and modern ai workflows, representing $6.5m+ in active funding.
