Special Days, Executive & Special Sessions

Executive Sessions

Giovanni De Micheli
, EPF Lausanne, CH
Marco Casale-Rossi, Synopsys, IT

DATE 2020 will again feature an Executive Track of presentations by leading industry and academia representatives. This one-day program will be held on Tuesday, 10 March, the first day of the DATE conference immediately after the Opening Session and will run in parallel to the technical conference tracks. It will be comprised of a lunch keynote and a hot topic session.

The lunch keynote by Dr. Catherine Schuman, Research Scientist at Oak Ridge National Laboratory, TN, USA, will provide an overview of “Neuromorphic Computing: Past, Present, and Future”. The hot topic session will offer new perspectives about the emerging memory architectures, with a special focus on neuromorphic computing, and AIoT applications.

This year's Executive Track should offer prospective attendees valuable information about the vision and roadmaps of leading companies and research institutions from a business and technology point-of-view.

2.1 Memories for Emerging Applications
Chair: Pierre-Emmanuel Gaillardon, University of Utah, US

3.0 LUNCHTIME KEYNOTE: Neuromorphic Computing: Past, Present, and Future
Catherine Schuman, Oak Ridge National Laboratory (ORNL), US

Special Day – Wednesday

Embedded Artificial Intelligence

Bernabé Linares
Li-C Wang, University of California, Santa Barbara, US

Nowadays there are many cognitive applications working on portable mobile devices, which however perform most of their intensive computations on the cloud. This implies power hungry servers spread all over the world, plus an important continuous communication overhead between the edge devices, the internet and the servers, drastically increasing the power consumption of world-wide internet. If internet power consumption keeps increasing with the present trend, it is estimated that by 2030 one fifth of the world- wide electricity consumption would be just to keep internet and their servers running.

By moving cognitive computation intense tasks locally on embedded edge devices, not only world-wide internet power consumption growth trend will be reduced, but also users will recover their right to keep their personal data privacy.

In this Special Day on Embedded AI, sessions will be organised to discuss new trends in cognitive algorithms, hardware architectures, software designs, emerging device technologies as well as the application space for deploying AI into edge devices. The topics will include technical areas to enable the realization of embedded artificial intelligence on specialized chips, such as bio-inspired chips, with and without self-learning capabilities, special low power accelerator chips for aiding in vector/matrix-based computations, convolution and deep-net chips, etc for possible machine learning, cognitive, and perception applications in health, automotive, robotics, or smart cities applications.

5.1 Tutorial Overviews

6.1 Emerging Devices, Circuits and Systems

7.0 LUNCHTIME KEYNOTE: Leveraging Embedded Intelligence in Industry: Challenges and Opportunities
Jim Tung, MathWorks Fellow, US

7.1 Industry AI Chips

8.1 Neuromorphic Chips and Systems

Special Day – Thursday

Silicon Photonics

Gabriela Nicolescu
, Polytechnique Montreal, CA
Luca Ramini, Hewlett Packard Labs, US

Silicon photonics has emerged as a promising solution in the area of high-performance computing. This emerging technology opens new multi-disciplinary research questions including low-loss CMOS compatible components, as well as software CAD and design tools to explore the design space of the resulting complex devices and systems. The DATE Special Day on Silicon Photonics will focus on data communication via photonics for both data centre/high-performance computing and optical networks-on-chip applications. Industrial and academic experts will highlight recent advances on devices and integrated circuits. The sessions will also feature talks on design automation and link-level simulations. Other applications of silicon photonics such as sensing and optical compute will also be discussed.

9.1 Advancements on Silicon Photonics

10.1 High-Speed Silicon Photonics Interconnects for Data Center and HPC

11.0 LUNCHTIME KEYNOTE: Memory Driven Computing to Revolutionize the Medical Sciences
Joachim Schultze, German Center for Neurodegenerative Diseases, DE

11.1 Advanced Applications

12.1 Design Automation for Photonics

Special Initiative

Two-day Initiative on Autonomous Systems Design – Automated Vehicles and Beyond

Initiative Organisers:
Rolf Ernst
, TU Braunschweig, DE
Selma Saidi, TU Dortmund, DE
Dirk Ziegenbein, Robert Bosch GmbH, DE


The DATE initiative on Autonomous Systems Design (ASD) is a two-day special event at DATE. It focuses on recent trends and emerging challenges in the field of autonomous systems. Such systems are becoming more and more integral parts of many internet-of-things and cyber-physical systems applications. Automated driving constitutes today one of the best examples of this trend, in addition to other application domains such as avionics and robotics. The ASD initiative is organised as a Thursday Special Day and Friday Workshop to constitute a two-day continuous program covering architectures and frameworks for autonomous systems, adaptive techniques for managing software and environmental uncertainty, and formal verification methods for safety assurance in machine learning algorithms.

Thursday Special Day

9.2 Architectures and Frameworks for Autonomous Systems

10.2 Uncertainty Handling in Safe Autonomous Systems (UHSAS)

11.2 Autonomous Cyber-Physical Systems: Modelling and Verification

12.2 Emerging Approaches to Autonomous Systems Design

ASD Initiative Reception
supported by AID – Autonomous Intelligent Driving GmbH

Friday Workshop

W03 Second DATE workshop on Autonomous Systems Design (ASD 2020)

Special Sessions

Special Session Co-Chairs:
Giovanni De Micheli
, EPF Lausanne, CH
Marco Casale-Rossi, Synopsys, IT

DATE 2020 offers a collection of excellent special sessions organised by leading experts on topics that are of general interest and are complementary to the regular paper session. In particular, special sessions will address hot topics such as architectures for emerging technologies and quantum computing, neural algorithms, arithmetic and in-memory computing for edge applications, engineering change orders and hardware security.

3.1 Special Session: Architectures for Emerging Technologies
Chair: Pierre-Emmanuel Gaillardon, University of Utah, US
Co-Chair: Ian O’Connor, Ecole Centrale de Lyon, FR

5.3 Special Session: Secure Composition of Hardware Systems
Chair: Ilia Polian, Stuttgart University, DE
Co-Chair: Francesco Regazzoni, ALARI, CH

5.8 Special Session: HLS for AI HW
Chair: Massimo Cecchetti, Mentor, A Siemens Business, US
Co-Chair: Astrid Ernst, Mentor, A Siemens Business, US

6.3 Special Session – Hot Topic: Modern Logic Reasoning Methods for Functional ECO
Chair: Patrick Vuillod, Synopsys, US
Co-Chair: Christoph Scholl, Albert-Ludwigs-University Freiburg, DE

7.3 Special Session: Realizing Quantum Algorithms on Real Quantum Computing Devices
Chair: Eduard Alarcon, UPC BarcelonaTech, ES
Co-Chair: Swaroop Ghosh, Pennsylvania State University, US

9.3 Special Session: In-Memory Computing for Edge AI
Chair: Maha Kooli, CEA-Leti, FR
Co-Chair: Alexandre Levisse, EPFL, CH

9.8 Special Session – Panel: Variation-aware Analyses of Mega-MOSFET Memories, Challenges and Solutions
Firas Mohamed, Silvaco, FR
Jean-Baptiste Duluc, Silvaco, FR

10.3 Special Session: Next Generation Arithmetic for Edge Computing
Chair: Farhad Merchant, RWTH Aachen University, DE
Co-Chair: Akash Kumar, TU Dresden, DE

11.3 Special Session: Emerging Neural Algorithms and their Impact on Hardware
Chair: Ian O’Connor, Ecole Centrale de Lyon, FR
Co-Chair: Michael Niemier, University of Notre Dame, US

11.8 Special Session: Self-aware, Biologically-inspired Adaptive Hardware Systems for Ultimate Dependability and Longevity
Chair: Martin A. Trefzer, University of York, GB
Co-Chair: Andy M. Tyrrell, University of York, GB

12.8 Special Session: EDA Challenges in Monolithic 3D Integration: From Circuits to Systems
Chair: Pascal Vivet, CEA-Leti, FR
Co-Chair: Mehdi Tahoori, Karlsruhe Institute of Technology, DE

EU Projects Sessions

European Projects Chair:
Francisco J. Cazorla,
Barcelona Supercomputing Center, ES

DATE 2020 features two exciting EU Projects sessions in which cutting-edge research and industrial projects funded by the EU and the European Space Agency present their vision, findings, and outcomes. The presentations for the different projects, which are in different stages of execution, will cover different topics around heterogeneous computing, and nanoelectronics with CMOS and alternative technologies.

3.3 EU/ESA Projects: Heterogeneous Computing
Chair: Carles Hernandez, UPV, ES
Co-Chair: Francisco J. Cazorla, Barcelona Supercomputing Center, ES

4.7 EU Projects: Nanoelectronics with CMOS and Alternative Technologies
Chair: Dimitris Gizopoulos, UoA, GR
Co-Chair: George Karakonstantis, QUB, GR

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