8 papers
Uncertainty-Aware End-to-End Co-Design of Neural Network Processors: From Training and Mapping to Fabrication
Yuyang Du, Yujun Huang, Gioele Zardini
Designing a neural network processor is an end-to-end co-design problem: network architecture and training budget determine the inference workload; hardware mapping decisions deter…
Task-Driven Co-Design of Heterogeneous Multi-Robot Systems
Maximilian Stralz, Meshal Alharbi, Yujun Huang +1
Designing multi-agent robotic systems requires reasoning across tightly coupled decisions spanning heterogeneous domains, including robot design, fleet composition, and planning. M…
Quantale-Enriched Co-Design: Toward a Framework for Quantitative Heterogeneous System Design
Hans Riess, Yujun Huang, Matthew Klawonn +2
Monotone co-design enables compositional engineering design by modeling components through feasibility relations between required resources and provided functionalities. However, i…
Scalable Co-Design via Linear Design Problems: Compositional Theory and Algorithms
Yubo Cai, Yujun Huang, Meshal Alharbi +1
Designing complex engineered systems requires managing tightly coupled trade-offs between subsystem capabilities and resource requirements. Monotone co-design provides a compositio…
Distributional Uncertainty and Adaptive Decision-Making in System Co-design
Yujun Huang, Gioele Zardini
Complex engineered systems require coordinated design choices across heterogeneous components under conflicting objectives and uncertain specifications. Monotone co-design provides…
Composable Uncertainty in Symmetric Monoidal Categories for Design Problems
Marius Furter, Yujun Huang, Gioele Zardini
Applied category theory often studies symmetric monoidal categories (SMCs) whose morphisms represent open systems. These structures naturally accommodate complex wiring patterns, l…