ESWEEK 2024

EMBEDDED SYSTEMS WEEK
Call for Participation
September 29 – October 4, 2024
Raleigh, North Carolina, USA,
https://esweek.org/

About Embedded Systems Week (ESWEEK)
Embedded Systems Week (ESWEEK) is the premier event covering all aspects of hardware and software design for intelligent and connected computing systems. By bringing together three leading conferences (CASES, CODES+ISSS, EMSOFT), one symposium (MEMOCODE), and several workshops and tutorials, ESWEEK allows attendees to benefit from a wide range of topics covering the state of the art in embedded systems research and development.

Registered attendees can attend sessions in any of the ESWEEK conferences (CASES, CODES+ISSS, EMSOFT). Tutorials, symposium (MEMOCODE), and workshops can be registered individually or in
addition with the ESWEEK registration.

ESWEEK 2024 will take place as an in-person event from September 29th to October 4th, 2024 in Raleigh, North Carolina, USA. Prior to the main event, there are 6 education classes (virtual over zoom) to choose from on Friday, September 26th, 2024. Sunday starts with Tutorials and a welcome reception. The three main conferences, Keynotes, Special Sessions, Competition Sessions, Ph.D Forum and Recruitment Event take place on Monday to Wednesday, followed by Symposia and Workshops on Thursday/Friday.
https://esweek.org/schedule/
https://esweek.org/wp-content/uploads/2023/04/ESWEEK-2024-preliminary-program-1.pdf

Keynote Talks:
* “Making tools to support the development of safety-critical embedded software”, by Jean-Louis Colaço (Ansys)
https://esweek.org/keynote-colaco
* “How Computational Infrastructure is Changing the Planet (for Better and for Worse). And How Planetary Thinking Might Shift How We Do Computational Infrastructure.”, by Steven J. Jackson (Cornell University)
https://esweek.org/keynote-jackson/
* “Embedded Exponentials: Milestones, Momentum, and the Frontier”, by Tulika Mitra (National University of Singapore)
https://esweek.org/keynote-mitra/

Conferences
* CASES: International Conference on Compilers, Architecture, and Synthesis for Embedded Systems
https://esweek.org/cases/
Program Chairs: Jana Doppa (Washington State University, US), Jeronimo Castrillon (TU Dresden, DE)
* CODES+ISSS: International Conference on Hardware/Software Codesign and System Synthesis
https://esweek.org/codes-isss/
Program Chairs: Muhammad Shafique (New York University, US), Prabhat Mishra (University of Florida, US)
* EMSOFT: International Conference on Embedded Software
https://esweek.org/emsoft/
Program Chairs: Alessandro Biondi (Scuola Superiore Sant’Anna, IT), Martina Maggio, (Lund University, SW & Saarland University, DE)

Symposia
* MEMOCODE: International Symposium on Formal Methods and Models for System Design
https://esweek.org/memocode/
Program Chairs: Qi Zhu (Northwestern University, US), Srinivas Pinisetty (IIT Bhubaneswar, IN)

Workshops:
* LLM-PIM: Large Language Model Acceleration using Processing-In-Memory Architectures
https://llm-pim-workshop.com/
* MSC: Memory and Storage Computing
https://msc-esweek.github.io/
* RSP: Rapid System Prototyping
https://conferences.imt-atlantique.fr/rsp-symposium/
* TACPS: Trustworthy Autonomous Cyber-Physical Systems
https://www.tacps.org/
* TCRS: Time-Centric Reactive Software
https://www.tcrs.io/

Tutorials
* T1: Disruptive Memory Technologies: A Tutorial and Unified Simulation Framework.
* T2: Low Code, High Performance Embedded AI with MATLAB & Arm IP Explorer.
* T3: AMD’s Ryzen AI Neural Processing Unit Hands-on Tutorial.
* T4: Privacy Preserving Primitive for Heath Data.
* T5: ARES: AI for Science on Resource-Constrained Embedded Systems.
* T6: Large-Scale Spiking Neuromorphic Architectural Exploration using SANA-FE.
* T7: Deploying Acoustic-Based Predictive AI for Machine Health using Model-Based Design Tools.
* T8: Understand Your FPGA Designs Better: From Rapid Simulation to On-board Profiling.
* T9: Generative AI for Next-generation EDA Tool-flows.
* T10: Efficient Large Language Model Tuning on the Edge.

Education Classes (virtual over zoom)
* EC1: Design Space Exploration for Deep Learning at the Edge.
* EC2: Enabling Energy-efficient AI Computing: Leveraging Application-specific Approximations.
* EC3: Fast Prototyping of Machine Learning Hardware Accelerators on FPGA.
* EC4: AI-Driven Indoor Navigation with Mobile Embedded Systems.
* EC5: MLSysBook.AI: The Hitchhiker’s Guide to Machine Learning Systems Engineering.
* EC6: What do Transformers have to learn from biological spiking neural networks?

Competitions:
* Embedded System Software Competition (ESSC)
https://embedded-research-competition.github.io/
* ACM SIGBED Student Research Competition
https://esweek.org/src/

Panels:
* Embedded systems and the environmental crisis
https://esweek.org/panel2/
* Celebrating 20 years of ESWeek
https://esweek.org/panel1/

Organization
ESWEEK 2024 General Chairs:
Alain Girault, Inria & Univ. Grenoble Alpes, FR (General Chair)
Tei-Wei Kuo, National Taiwan University, TW (Vice General Chair)

Conference and Local Arrangement Chair:
Frank Mueller, North Carolina State University, US