Visible to the public Call for Participation: ESWEEK 2021Conflict Detection Enabled

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Embedded Systems Week 2021


Virtual Conference, October 8 - 15, 2021


ESWEEK 2021 attendee registration is only USD 10 for IEEE/ACM members and USD 20 for others, and a limited number of free registrations are available (via a fee waiver) for attendees with demonstrated need:

ESWEEK 2021 features a new Education Track, which comprises of classes aimed at background knowledge of various topics in "embedded learning”:

Technical Program:

About Embedded Systems Week (ESWEEK)

Embedded Systems Week (ESWEEK) is the premier event covering all aspects of hardware and software design for smart, intelligent and connected computing systems. By bringing together three leading conferences (CASES, CODES+ISSS, EMSOFT), a symposium (NOCS) 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.

The registration covers all events at ESWEEK including CASES, CODES+ISSS, EMSOFT, NOCS, keynote, panel, workshops, tutorials, and educational classes. There will be pre-recorded 2-3 min lightning talks and papers available through Whova before the conference for participants to comment and post questions. During the conference, will be used as main platform to access all live and interactive content throughout the conference week. You will be able to interact with other attendees, network, attend all talks or join poster sessions in the ESWEEK 2021 Gather space.

More details:


Journal Track:
- Abstract Submission: April 2, 2021 (firm)
- Full Paper Submission: April 9, 2021 (firm)
- Notification of Acceptance: July 5, 2021

Work-in-Progress Track:
- Paper Submission: June 4, 2021 (firm)
- Notification of Acceptance: July 5, 2021

Workshop Proposals: April 16, 2021
Tutorial Proposals: April 30, 2021
Special Session Proposals: April 30, 2021

September 24, 2021 - Papers and pre-recorded lightning videos will be online. Questions about papers can be asked through the Whova platform.
October 8–15, 2021 - ESWEEK Virtual Conference with live sessions and interactive posters through


  • Monday Keynote: Advances in Neuromorphic Computing for Fast, Efficient, and Intelligent Processing, by Mike Davies, Intel Labs
  • Tuesday Keynote: Safe Learning in Robotics, by Claire Tomlin, University of California at Berkeley
  • Wednesday Keynote: Why is Machine Learning on Embedded Systems so Important?, by Pete Warden, Google


Given the continued uncertainty, the next ESWEEK is currently planned as a virtual event. We will, however, closely monitor the situation and if it improves significantly consider a hybrid in-person/virtual event in an appropriate location that will be announced well in advance. In all cases, virtual attendance and remote presentations of accepted papers will be possible. Please watch the website or social media channels for updates.


ESWEEK 2021 continues a dual publication model comprising the Journal track and the Work-in-Progress (WiP) track for the three conferences (CASES, CODES+ISSS, and EMSOFT). Journal track papers are full-length papers describing mature work. They will be published in the ACM Transactions on Embedded Computer Systems (TECS). The WiP track papers are short (2-page) papers representing not-yet-mature but promising research. They will be published in the ESWEEK proceedings and will be listed as regular publications within the IEEE and/or ACM digital libraries. Authors of WiP papers have the opportunity to publish an extended form of their work in any conference or journal they prefer. Journal and WiP papers are mutually exclusive, i.e., a work can only be in submission in one of the two tracks.  For more information on the ESWEEK dual-track publishing process, please refer to


Tuesday, October 12: "Special Industry Day":

  • Two special sessions on collaborative industry-academia European research projects
  • An industry pitch and poster session

Wednesday, October 13: "Special Edge AI Day":

  • Keynote "Why is Machine Learning on Embedded Systems so Important?"
  • Topic-related journal-track papers
  • Two special sessions on "Automated Edge AI Design" and "New Applications, Systems, and Challenges toward Designing New 'Things' at the Edge"
  • A panel about "Machine Learning on the Edge: How deep can we 'embed' it into the Cloud-Edge continuum?"


CASES: International Conference on Compilers, Architectures, and Synthesis for Embedded Systems

CASES is a premier forum where researchers, developers and practitioners exchange information on the latest advances in compilers and architectures for high-performance, low-power embedded systems. The conference has a long tradition of showcasing leading edge research in embedded processor, memory, interconnect, storage architectures and related compiler techniques targeting performance, power, predictability, security, reliability issues for both traditional and emerging application domains. In addition, we invite innovative papers that address design, synthesis, and optimization challenges in heterogeneous and accelerator-rich architectures.

CASES Program Chairs:
Umit Ogras, University of Wisconsin-Madison, US
Preeti Panda, IIT Delhi, IN

CODES+ISSS: International Conference on Hardware/Software Codesign and System Synthesis

The International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) is the premier event in system-level design, hardware/software co-design, modeling, analysis, and implementation of modern Embedded Systems, Cyber-Physical Systems (CPS), and Internet-of-Things (IoT), from system-level specification and optimization to system synthesis of multi-processor hardware/software implementations. The conference is a forum bringing together academic research and industrial practice for all aspects related to system level and hardware/software co-design.

CODES+ISSS Program Chairs:
Jason Xue, City University of Hong Kong, HK
Chengmo Yang, University of Delaware, US

EMSOFT: International Conference on Embedded Software

The ACM SIGBED International Conference on Embedded Software (EMSOFT) brings together researchers and developers from academia, industry, and government to advance the science, engineering, and technology of embedded software development. Since 2001, EMSOFT has been the premier venue for cutting-edge research in the design and analysis of software that interacts with physical processes, with a long-standing tradition for results on cyber-physical systems, which compose computation, networking, and physical dynamics.

EMSOFT Program Chairs:
Linh Thi Xuan Phan, University of Pennsylvania, US
David Broman, KTH Royal Institute of Technology, SE



International Symposium on Networks-on-Chip (NOCS)

ESWEEK 2021 will co-host the 15th International Symposium on Networks-on-Chip (NOCS). NOCS is the premier event dedicated to interdisciplinary research on on-chip, package-scale, chip-to-chip, and datacenter rack- scale communication technology, architecture, design methods, applications and systems. NOCS brings together scientists and engineers working on NoC innovations and applications, including discrete optimization and algorithms, computer architecture, networking, circuits and systems, packaging, embedded systems, and design automation.

NOCS General Chairs:
Tushar Krishna, Georgia Institute of Technology, US
John Kim, KAIST, KR


  • T1. QuantumFlow: A Co-Design Framework of Neural Network and Quantum Circuit towards Quantum Advantage
  • T2. Fog Computing for Industrial IoT
  • T3. Deterministic Reactive Programming for Cyber-Physical Systems Using Lingua Franca
  • IT1. Scalable SoC Architecture for Edge AI Products, Intel
  • IT2. Integrating Compute Acceleration Into Embedded System Design Using Vitis, Xilinx
  • IT3. GPU Code Generation from MATLAB and Simulink, Mathworks Inc.


  • International Workshop on Memory and Storage Computing (MSC)
  • International Workshop on Rapid System Prototyping (RSP)
  • Trustworthy and Reliable AI accelerator desigN (TRAIN)

Workshop Chair:
Patricia Derler, Kontrol LLC, US



  • "Edge AI Systems", Lin Wang, VU Amsterdam
  • "Memory-Centric Computing", Onur Mutlu, ETH Zurich and CMU
  • "Learn to Drive (and Race!) Autonomous Vehicles", Rahul Mangharam and Johannes Betz, University of Pennsylvania
  • "TinyML on Edge", Vijay Janapa Reddi, Harvard University
  • "Binarized Neural Network Inference", Nicolas J Fraser, Xilinx
  • "Research Reproducibility in Embedded Learning", Romain Jacob, ETH Zurich
  • "Spiking Neural Networks", Priyadarshini Panda, Yale
  • "Neural Network Accelerator Design", Yu Wang, Tsinghua University
  • "Introduction to Neuromorphic Computing", Helen Li, Duke University
  • "DNNs on FPGAs", Jaesun Seo, Arizona State University
  • "Machine Learning-Driven Manycore Systems", Biresh Kumar, Duke University, Jana Doppa, Washington State University


ESWEEK 2020 General Chairs:
Andreas Gerstlauer, University of Texas Austin, US
Aviral Shrivastava, Arizona State University, US (Vice General Chair)
Tulika Mitra, National University of Singapore, SG (Past Chair)

Virtual Conference Chairs
Sudeep Pasricha, Colorado State University, US
Hoeseok Yang, Ajou University, KR