/CODAI22

CODAI’22: Workshop on Compilers Deployment, and Tooling for Embedded AI

at Embedded Systems Week ’22

The goal of the CODAI workshop is to coalesce the emerging energy in the AI compiler communities and AI accelerator communities focusing on Embedded AI in both academic and industrial research. These realms of research have the opportunity to deliver a pervasive and seamless end-to-end tooling that connects hardware and software development methodologies. This workshop mainly focus on:

  • Discussing new impulses for deployment of Neural Networks on low-end embedded systems
  • Cooperative development of (open-source) toolchains/frameworks for neural network deployment + cooperation between industry and academia.

Therefore, it complements the established conferences CASES and CODES+ISSS which have a wider and more academic research-spectrum. We also welcome work-in-progress papers of ongoing research projects and case studies from industrial applications. Topics for workshop submissions include, but are not limited to:

  • Optimization techniques and performance estimation of neural networks on embedded systems: e.g. compression, quantization techniques, Virtual Prototyping
  • Compilers for Embedded AI: Partitioning, μC, heterogeneous systems, intermediate representations or (domain specific) languages
  • Code-Generation and hardware-backends for AI accelerators - especially RISC-V appreciated
  • Applications: Processing of embedded vision, time-series data, etc
  • Novel brain-inspired algorithm for Edge-AI
  • Compiler and optimization techniques for beyond-von-Neumann AI accelerators

Call For Papers

t.b.d

Keynotes

  • Academic Keynote: Dr. Tianqui Chen, Assistant Professor, Carnegie Mellon
  • Industrial Keynote: Dr. Kailash Gopalakrishnan, Research Fellow, IBM

Organizers

Organization Committee - confirmed

  • Michael J. Klaiber - Bosch Research, Germany
  • Sebastian Vogel - NXP Semiconductors, The Netherlands

Program Committee - confirmed

  • Andreas Bytyn - Bosch Automotive Electronics, Germany
  • Andrew Reusch - OctoML, USA
  • Henk Corporaal, Floran de Putter - Eindhoven University of Technology, The Netherlands
  • Oliver Bringmann, Paul Palomero Bernardo - University of Tübingen, Germany
  • Deming Chen - University of Illinois Urbana Champaign, USA
  • Falk Rehm, Dennis Rieber, Christoph Schorn, Ingo Feldner - Bosch Research, Germany
  • Hussam Amrouch - University of Stuttgart, Germany