ACM Great Lakes Symposium on VLSI 2020: Virtual Event, China

Keynote I

Session 1A: Machine Learning and Neuromorphic Accelerator Designs

Session 1B: Emerging Memory-Enabled Computing for Future Electronics

Session 2A: Hardware Security and Testing

Session 2B: In-Memory Computing for Advanced Machine Learning Applications: An EDA Perspective

Session 3A: 3D Flash Memory and FPGA Designs

Session 3B: Efficient and Secure Deep Learning and Reinforcement Learning in Embedded Systems

Keynote II

Session 4A: Emerging Computing Circuits, Architectures, and Paradigms

Session 4B: Advances in Microarchitecture Security: from Detection of Threats to Mitigation

Session 5A: Neural Network Acceleration and Approximate Computing

Session 5B: Protecting the Hardware in the Manufacturing Supply Chain: A Special Session on Hardware Security

Session 6A: Network-on-Chip Designs and On-Chip Communication

Session 6B: When Energy Efficiency and Multi-level Interaction Work Together

Keynote III

Session 7A: Machine-learning based Design Automation

Session 7B: Security in/for Approximate Computing

Session 8: Emering Deep Neural Network Computing and In-Memory Computing Systems

Panel I: Cross-Layer Design of Cyber-Physical Systems: from Circuit to Cloud

Poster Session I

Poster Session II

Keynote IV

Session 9: 3D Circuits and Power Circuits

Panel II: Security and Privacy Issues in AI and Their Impacts on Hardware Security

Session 10: Microelectronic Systems Education Workshop

a service of Schloss Dagstuhl - Leibniz Center for Informatics