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.
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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.
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Innovation and 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.
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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.
