CODAI 2023
News
- September 19th: Added Zoom Link
- September 15th: Added “How To Find Us” Section
- August 30st: ACM accepted to publish CODAI proceedings
- August 22nd: Camera-ready deadline extended
- August 21st: Abstract exended by one week
- August 21st: on-site registration is open
- July 3nd: Registration for online participation is open
- July 2nd: Deadline Extensions
- May 30th: Date of the Workshop announced - September 21st 2023, 11:00 - 19:00 o’clock
- April 3rd 2023: Call for Papers is online
- Februar 19th 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
How to Find Us
On-Site: The workshop will be held in Building H, Ground Floor, Room H0.07 of the ESWeek Conference Venue. More Infomation here
Online: Zoom
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
Introduction & Keynote | Title | Authors | Affiliation | Online/On-Site |
---|---|---|---|---|
10:00 – 10:30 | Welcome Coffee | |||
10:30 – 10:35 | Opening | CODAI Team | ||
10:35 – 11:15 | Keynote: Next-generation Compilers for Emerging Systems | Jeronimo Castrillon | Technical University of Dresden | |
Session 1: Deployment and Optimization Techniques | ||||
11:15 – 11:40 | Scaling Up Quantization-Aware Neural Architecture Search for Efficient Deep Learning on the Edge | Yao Lu, Hiram Rayo Torres Rodriguez, Sebastian Vogel, Nick van de Waterlaat, Pavol Jancura | NXP Semiconductors, Eindhoven University of Technology | |
11:40 – 12:05 | Invited Talk: Tiny Machine Learning: Enabling Intelligence on Constrained Devices | Fouad Sakr | Aptiv | |
12:05 – 12:30 | Invited Talk: Hardware-Aware Network Compression: From Data to Silicon | Thomas Pfeil | Recogni | |
12:30 – 13:30 | Lunch Break | |||
Session 2: Compilation Frameworks and Techniques | ||||
13:30 – 13:55 | Accelerating Edge AI with Morpher: An Integrated Design, Compilation and Simulation Framework for CGRAs | Dhananjaya Wijerathne, Zhaoying Li, Tulika Mitra | National University of Singapore | |
13:55 – 14:20 | Towards Rapid Exploration of Heterogeneous TinyML Systems using Virtual Platforms and TVM’s UMA | Samira Ahmadifarsani, Rafael Stahl, Philipp van Kempen, Daniel Mueller-Gritschneder, Ulf Schlichtmann | Technical University of Munich | |
14:20 – 14:45 | ART: An Actor transition systems RunTime for enabling efficient partitioning of neural network graphs | Endri Bezati | Huawei Zurich Research Center | |
14:45 – 15:10 | Invited Talk: SYCL – A Modern C++ Programming Model for Accelerators | Lukas Sommer | Codeplay | |
15:10 – 15:40 | Coffee Break | |||
Session 3: Applications | ||||
15:40 – 16:05 | Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar Data Processing | Max Sponner, Julius Ott, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar | Technical University of Munich, Infineon Dresden Technologies GmbH& Co. KG | |
16:05 – 16:30 | Pros and Cons of Executable Neural Networks for Deeply Embedded Systems | Matheus Ferraz, Birte Friesel, Olaf Spinczyk | Osnarbrück University | |
16:30 – 16:55 | Invited Talk: Software and Hardware for Sparse ML | Fredrik Kjolstad | Stanford University | Video/Online Talk |
16:55 – 17:00 | Closing remarks | CODAI Team |
Important Dates
- Abstract submission deadline:
July 6thJuly 20thJuly 27th, 2023 at 23:59 AOE - Paper submission deadline:
July 13thJuly 27th, 2023 at 23:59 AOE (firm) - Acceptance notification: August 10th, 2023 at 23:59 AOE
- Camera-ready deadline:
August 24thAugust 31st, 2023 at 23:59 AOE - Workshop: September 21st 2023 at 10:00 until 17:00 CET
Call For Papers
Call for papers for CODAI’23 workshop
Paper Submission
Registration
Online participation
Online participation is free of charge
Registration for online participation
On-site participation
On-site participants requires an ESWEEK registration. Workshop-only participation comes at a cost of 250 USD
Registration for on-site participation
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.
Important: all speaker who participate on-site, require an ESWEEK registration. There is also a workshop-only option at a reduced price.
Author Instructions
ACM accepted the proposal to publish the CODAI proceedings in the [ACM digital library]{https://dl.acm.org/}. Please prepare the paper as given by the instruction that you received via E-Mail from ACM.
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.
Please use the IEEE Template for your manuscript. Your paper must not exceed a length of 4 pages excluding references.
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
Chairs
For questions on specific topics, contact:
- On-site program chair: Dennis Rieber
- Online program chair: Dayne Reis
- Publicity/Marketing chair: Miguel Aguilar
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
- Paul Dragan - Universtiy of Duisburg-Essen, Germany
Contact
For questions contact:
Dr. Michael J. Klaiber, EnCharge AI
E-Mail: codai2023 (a) michael-klaiber.de
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