Machine Learning for System-Level Modeling and Design

Machine Learning for High level Synthesis: Progress and Challenges

EC8 Coarse-Grained Reconfigurable Array

EC4 Deterministic Concurrency and the Lingua Franca Coordination Language

EC10 HIGH-LEVEL SYNTHESIS OF COMPLEX PARALLEL SPECIFICATIONS

EC2 Self-Adaptive Domain-Specific Computer Architectures

CASES 4

CODES+ISSS 1

CODES+ISSS 2

EMSOFT 2

CASES 1

EC7 Machine Learning Accelerator Design

Policy implications for the energy transition Challenges and opportunities from a system perspective

CASES 3

EMSOFT 1

Tutorial 3A Hands on Explainable Recommender Systems with Knowledge Graphs

EC1 Data Flow from Cause to Effect in Distributed Systems: Data Age and Reaction

FAccT21 Tutorial Power is Political Philosophy

Machine Learning for System-Level Modeling and Design

EC3 3D Memory Thermal Challenges and System Management

EC12 Optical Computing for Al Acceleration

EC9 Design Methodology for Low Power Computer Vision Systems

EC6 CEDR: A Novel Runtime Environment for Accelerator-Rich Heterogeneous Architectures

EC5 Efficient and Robust Edge Al: Software, Hardware, and the Co-design

EC11 Bringing $M L$ to the extreme edge