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Prospective students: Please check out this information!
I’m a Professor at UC Santa Cruz in the area of chip design and electronic design automation (EDA). I’m the lead PI of the VLSI Design and Automation Lab as well as a member of the Hardware Systems Collective.
I founded the VLSI Design Automation (VLSI-DA) lab at UC Santa Cruz in Fall 2006. The primary research focus is on physical design, circuits, and algorithms research. Topics that have been investigated include design for low-power circuits, variability and reliability, thermal-aware design, and error tolerant circuit design.
Current Research: ML/GNN for EDA
Our lab is at the forefront of applying machine learning and graph neural networks (GNNs) to electronic design automation challenges. Recent research includes:
- GATMesh: Using graph neural networks for clock mesh timing analysis to improve accuracy and efficiency
- GAT-Steiner: Applying GNNs to predict optimal Rectilinear Steiner Minimal Trees for interconnect routing
- Effective Capacitance Modeling: Leveraging graph neural networks to model complex capacitance effects in modern chip designs
- OpenGCRAM: Developing an open-source gain cell compiler enabling design-space exploration optimized for AI workloads
These projects represent our commitment to advancing EDA through modern AI techniques, creating faster and more efficient design tools for next-generation chips. View our publications for more details.
Latest News
Prof. Guthaus to Speak at ORConf
Professor Matthew Guthaus will be presenting his latest research on VLSI design automation at the upcoming ORConf 2025 (Open Source Digital Design Conference). The conference brings together developers and users of open source digital design and embedded systems tools. Prof. Guthaus will present “Resizing Your Expectations: Mastering Timing Closure with OpenROAD’s Evolving Optimizer”, discussing recent advancements in open-source EDA tools and their applications in modern chip design.