CODAI 2023

News

• May 303^th: Date of the Workshop announced - September 21^st 2023, 11:00 - 19:00 o’clock
• April 3^rd 2023: Call for Papers is online
• Februar 19^th 2023: Page for CODAI 2023 Edition Live!

Overview

The goal of the CODAI’23 workshop is to bring together 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 edge devices
• 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:

• Compilers for Edge AI: partitioning, µC, heterogeneous systems, intermediate representations or (domain specific) languages
• Optimization techniques and performance estimation of neural networks on edge device: e.g., compression, quantization techniques, virtual prototyping
• Code-generation and hardware-backends for Embedded AI accelerators - especially for RISC-V is 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

Review

CODAI 2022 was a great success with many contributions from academia, industry, and international tech leaders. We accepted five high-quality papers and were positively surprised by the quality and extensiveness of submitted papers (one paper even open sourced their code on GitHub after the notification of acceptance).

The CODAI 2022 presentations can be found here.

Program

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Important Dates

• Abstract submission deadline: July 6^th, 2023 at 23:59 AOE
• Paper submission deadline: July 13^th, 2023 at 23:59 AOE
• Acceptance notification: August 10^th, 2023 at 23:59 AOE
• Camera-ready deadline: August 24^th, 2023 at 23:59 AOE
• Workshop: September 21^st 2023 at 11:00 until 19:00 CET

Call For Papers

Call for papers for CODAI’23 workshop

Paper Submission

Submit

Registration

t.b.d.

Author Information

All accepted contributions will be presented the CODAI Workshop 2023. Please be available for a 20 minute on-site presentation at ESWeek, followed by a 10 minute Q&A session. If you can not make the trip, you have to record a video of your talk, which will be streamed during the event. Afterwards, please be availabe for the Q&A session via Zoom. All talks will be recorded and live-streamed in Zoom and on YouTube.

Author Instructions

The proceeddings will be published on arXiv.org. Additionally, we are currently in negotiation with IEEE/ACM to publish the proceedings additionally via IEEExplore/ACM-DL. Updates on this matter will follow soon.

Organization

Organization Committee

• Michael J. Klaiber - EnCharge AI, USA
• Sebastian Vogel - NXP Semiconductors, The Netherlands
• Dayane Reis - University of South Florida, USA
• Andreas Bytyn - Axelera AI, Germany
• Dennis Rieber - Bosch Research, Germany
• Miguel Aguilar - Aptiv, Germany

Technical Program Committee

• Oliver Bringmann, Paul Palomero Bernardo - University of Tübingen, Germany
• Henk Corporaal, Floran de Putter - Eindhoven University of Technology, The Netherlands
• Andrew Reusch - OctoML, USA
• Robert Nabholz - Robert Bosch GmbH, Germany
• Sezgin Baloglu - Germany
• Fouad Sakr - Aptiv, Germany
• Shaahin Angizi - New Jersey Institute of Technology, USA
• Manuele Rusci - KU Leuven, Belgium
• Alessandro Capotondi, Università di Modena e Reggio Emilia, Italy
• Andres Goens - University of Edinburgh, Scotland, United Kingdom
• Lei Yang - George Mason University, USA

Contact

For questions contact:

Dr. Michael J. Klaiber, EnCharge AI

E-Mail: codai2023 (a) michael-klaiber.de

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