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Assistant Professor · University of South Florida
I develop machine learning (ML)-based methodologies for the design of advanced computing systems using emerging technologies to enable energy-efficient, high-performance, and reliable inference and training of emerging ML models. I lead HexaLabs at University of South Florida.
HexaLabs, at the University of South Florida, co-optimizes architecture, packaging, and algorithms to achieve exascale performance using heterogeneous compute and interconnect fabric at edge and datacenters.
Thesis: Advances in Machine Learning-Enabled Resource Management in Manycore Systems. Advisors: Partha Pande & Jana Doppa.
Thesis: Floorplan-aware framework for optimal SRAM selection for memory subsystems. Advisor: Alexander Fell.
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