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CODAI’22 is an Embedded Systems Week workshop to coalesce the emerging energy in the AI compiler communities and AI accelerator communities focusing on Edge 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 focuses on:

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:


CODAI’22 took place on October 13th 2022 as virtual workshop.

Title Speaker Affiliation Video Slides
Introduction Michael J. Klaiber CODAI General Co-Chair, EnCharge AI watch  
Industrial Keynote: The Past, Presence and Future of AI Compute Platforms Kailash Gopalakrishnan EnCharge AI watch  
Performance models and energy-optimal mapping of DNNs on many-core hardware with dynamic power management Bernhard Vogginger, Florian Kelber, Johannes Partzsch and Christian Mayr TU Dresden watch slides
HyT-NAS: Hybrid Transformers Neural Architecture Search for Edge Devices Lotfi Abdelkrim Mecharbat, Hadjer Benmeziane, Ouarnoughi Hamza and Smail Niar Ecole Nationale Supérieure d’Informatique, Hauts-de-France, Université Polytechnique Hauts-de-France watch slides
Whole-model optimization with Apache TVM Andrew Reusch OctoML watch  
MLonMCU: TinyML Benchmarking with Fast Retargeting Philipp van Kempen, Rafael Stahl, Daniel Müller-Gritschneder and Ulf Schlichtmann Technical University of Munich watch slides
Academic Keynote: Abstract for Machine Learning Compilations Tianqi Chen Carnegie Mellon University watch  
Embedded AI Challenges in Perception Systems Miguel Aguilar Aptiv watch  
Integration of a systolic array based hardware accelerator into a DNN operator auto-tuning framework Federico Nicolás Peccia and Oliver Bringmann FZI Research Center for Information Technology, University of Tübingen watch slides
Deploying Machine Learning Models to Ahead-of-Time Runtime on Edge Using MicroTVM Chen Liu, Liyuan Guo, Xinyue Shi, Matthias Jobst, Johannes Partzsch and Christian Mayr Chair of Highly-Parallel VLSI-Systems and Neuromorphic Circuits, TU Dresden watch  
Conclusion Sebastian Vogel CODAI General Co-Chair, NXP watch  

Important Dates

Call For Papers

Call for papers for CODAI’22 workshop

Paper Submission

Paper submission


ESWEEK Registration $15.75 / $20.00

If you have registered the main conference, you can attend the workshop for free.

Author Instructions


Organization Committee

Program Committee


For questions contact:

Dr. Michael J. Klaiber, EnCharge AI

E-Mail: codai2022 (a)

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