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EMBEDDED SYSTEMS WEEK
Call for Participation
* CASES * CODES+ISSS * EMSOFT * NOCS * Keynotes * Workshops * Tutorials *
Virtual Conference, October 8 – 15, 2021
https://esweek.org
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UPDATES
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* 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:
https://esweek.org/registration/
* ESWEEK 2021 features a new Education Track, which comprises of classes
aimed at background knowledge of various topics in “embedded learning”:
https://esweek.org/education/
* Technical program: https://esweek.org/program/
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About Embedded Systems Week (ESWEEK)
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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), one 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 2-3min lightning talks and papers
available through Whova before the conference for participants to comment
and post questions. During the conference, Gather.town 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: https://esweek.org/logistics/
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Timeline
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* 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 Gather.town.
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Keynotes: https://esweek.org/keynote/
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* 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
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Special Interest Days:
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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?”
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Conferences
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* CASES: International Conference on Compilers, Architecture,
and Synthesis for Embedded Systems
https://esweek.org/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
https://esweek.org/codes-isss/
Program Chairs: Jason Xue, City University of Hong Kong, HK
Chengmo Yang, University of Delaware, US
* EMSOFT: International Conference on Embedded Software
https://esweek.org/emsoft/
Program Chairs: Linh Thi Xuan Phan, University of Pennsylvania, US
David Broman, KTH Royal Institute of Technology, SE
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Symposium
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* NOCS: International Symposium on Networks-on-Chip
https://esweek.org/nocs/
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Tutorials (T) and Industrial Tutorials (IT): https://esweek.org/tutorials/
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* 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.
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Workshops: https://esweek.org/workshops/
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* International Workshop on Memory and Storage Computing (MSC)
* International Workshop on Rapid System Prototyping (RSP)
* Trustworthy and Reliable AI accelerator desigN (TRAIN)
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Education Track: https://esweek.org/education/
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* “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
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Organization: https://esweek.org/organizing-committee/
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Andreas Gerstlauer, University of Texas at Austin, US (General Chair)
Aviral Shrivastava, Arizona State University, US (Vice General Chair)
Tulika Mitra, National University of Singapore, SG (Past Chair)
Virtual Conference Chairs:
Sudeep Pasricha, Colorado Statue University, US (Chair)
Hoeseok Yang, Ajou University, KR (Co-Chair)
https://esweek.org