International Workshop on Edge Intelligent Computing (EIC)


Edge Intelligent Computing (EIC) is an emerging technology paradigm appealing for extensive Internet of Things (IoT) scenarios such as environment monitoring, disaster warning, meta cyberspace. However, low power and constrained hardware resources impose critical design challenges in the process of EIC systems’ real-world implementation. In this workshop, we are not only interested in the advanced edge computing technologies, but also bring a focus on how to implement the computation-/data-intensive machine learning algorithms on IoT edge devices. The workshop will bring together both scientists and engineers from academia and industry who are working on Edge Intelligent Computing architectures and systems.

The topics of the workshop will include but not limit to the following topics:

  1. Edge computing architectures
  2. Edge computing software co-design
  3. State-of-the-art edge computing systems
  4. Intermittent computing systems
  5. Energy harvesting systems
  6. Low power ML algorithm optimization
  7. Low power Processing-In-Memory (PIM) accelerators
  8. Nonvolatile processors
  9. FPGA-based edge intelligent computing
  10. Design-space exploration for edge intelligent computing systems
  11. Cross-layer design methodologies for edge (intelligent) computing
  12. Compiler and OS optimization for edge (intelligent) computing
  13. Modeling, simulation and analysis for edge computing systems
  14. Case study for edge intelligent computing systems


Keni Qiu
Capital Normal University (CNU), China

Shuaiwen Song
Sydney University, Australia

Workshop Webpage