GPU systems through tensor contractions
Building GPU systems through tensor contractions, with a focus on hardware understanding, memory movement, and algebraic structure.
About
I build around tensor contractions as a way to understand how computation maps onto hardware.
tensor-energy-workspace is the foundation for exploring tensor algebra, contraction order, data layout, memory traffic, and GPU execution.
The goal is to connect algebraic structure and hardware intuition, not just raw throughput.
We study GPU computation from a structural perspective. Tensor contractions are used as a lens for understanding how algebraic structure maps onto GPU hardware, data layout, and memory movement.
Project
Open-source foundation for understanding GPU structure through tensor algebra.
tensor-energy-workspace
Foundation for exploring tensor algebra, contraction order, data layout, memory traffic, energy measurements, and GPU execution.
Contact
Open to collaborations on GPU systems, tensor-network methods, and high-performance computing.