teuscher.:Lab

Spring 2026, ECE 410/510: Hardware for AI and ML

This course covers the design, simulation, optimization, and evaluation of specialized hardware for artificial intelligence and machine learning workloads. Students begin with the mathematical foundations (linear algebra, calculus, probability) that connect AI/ML algorithms to their hardware implementations, then apply HW/SW co-design methods to map algorithms such as CNNs, DNNs, and transformer-based LLMs onto architectures including GPUs, TPUs, FPGAs, systolic arrays, and neuromorphic processors. Additional topics include computational profiling with Python and CUDA, benchmarking across hardware platforms, in-memory computing with memristive crossbar arrays, and the use of LLMs as hardware design tools for HDL generation and physical design automation. The course alternates between lectures and hands-on codefest sessions where students tackle open-ended design challenges, from implementing neurons and systolic sorting to running simulations on neuromorphic hardware platforms such as BrainScaleS-2.

More info at https://www.teuscher-lab.com/hw4ai

Some things we do...

Computer Engineering in Action at Portland State University - Teuscher.:Lab Christof Teuscher, Professor of Computer Engineering for the Maseeh College of Engineering and Computer Science, discusses projects in his lab at Portland St...

Apply now for the 2025 Graduate Research and Mentoring Program (GRMP)! More info at https://www.teuscher-lab.com/grmp

Call for Artists-in-the-Lab (AiL). The Artist-in-the-Lab (AiL) program aims at fostering the collaboration between art, science, and technology. Artists will be embedded in the teuscher.:Lab lab at Portland State University where they can engage and interact with scientists and students to gain a deeper understanding of cutting-edge science and technology. More info at https://www.teuscher-lab.com/ail