computational methods

Spatial Dataflow is all you need!

Jian Weng, Assistant Professor, Computer Science

Feb 10, 12:00 - 13:00

B9 L2 R2325

machine learning RTL computational methods

Jian Weng's research, inspired by spatial dataflow, proposes a unified hardware design and implementation framework that leverages a familiar software programming paradigm, enabling concise and efficient designs while significantly reducing code complexity and achieving near-handcrafted performance, with future applications in ML inference systems targeting memory bandwidth limitations.

Peter Schmid

Professor, Mechanical Engineering

applied mathematics computational methods Signal processing MATLAB

Professor Schmid's research interests are in theoretical and computational fluid dynamics, with emphasis on hydrodynamic stability theory, flow control, model reduction and system identification. He is also interested in computational techniques for flow optimization and quantitative flow analysis.