[CFP] CODAI: Workshop on Compilers, Deployment, and Tooling for Edge AI - Extended Deadline

Hi everyone, this CFP might be particularly interesting for people in this community!

CODAI: Workshop on Compilers, Deployment, and Tooling for Edge AI


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:

  • 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 of neural networks on embedded edge systems: compression, pruning, quantization techniques, hardware/compiler-aware neural architecture search, etc.
  • Performance estimation of neural networks on embedded systems: virtual prototyping, surrogate modeling, profiling etc.
  • Compilers for Edge AI: partitioning, mapping, retargeting, intermediate representations, for heterogeneous systems and architectures, µC, DSP etc.
  • Code-generation and compiler-backends for AI accelerators - especially for RISC-V and beyond-von-Neumann AI accelerators is appreciated
  • Applications: processing of embedded vision, sensor signal processing, novel brain-inspired algorithms for Edge AI etc.

Important Dates

  • Abstract submission deadline: August 25th 2022 AOE
  • Paper submission deadline: September 8th 2022 AOE August 18th 2022 AOE
  • Acceptance notification: September 22nd, 2022 September 8th, 2022
  • Camera-ready paper: October 6th, 2022 September 30th, 2022
  • Workshop date: October 13th 2022


  • Academic Keynote: Dr. Tianqui Chen, Assistant Professor, Carnegie Mellon
  • Industrial Keynote: Dr. Kailash Gopalakrishnan, Co-Founder & Executive, Ex-IBM Fellow

For more information, such as CFP, submission, etc see: http://codai-workshop.com

CC: @clattner @tqchen

Does this event have a Code of Conduct or adhere to the LLVM Code of Conduct?

@tonic, LLVM Code of Conduct looks good. I think we can adhere to the values in there

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