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Event Overview

Welcome to DATE 2019

General Chair
Jürgen Teich, Friedrich-Alexander-Universität Erlangen-Nürnberg, DE
Contact Jürgen Teich

Programme Chair
Franco Fummi, Universita' di Verona, IT
papers at date-conference [dot] com

DATE 2019 Advance Programme 

Click here for the DATE 2019 advance Programme in PDF format for download (~5 MB).


Call for Papers: Conference and Exhibition, 09 – 13 March 2020, ALPEXPO, Grenoble, France


DATE 2020 logoScope of the Event

The 23rd DATE conference and exhibition is the main European event bringing together designers and design automation users, researchers and vendors as well as specialists in hardware and software design, test and manufacturing of electronic circuits and systems. DATE puts strong emphasis on both technology and systems, covering ICs/SoCs, emerging technologies, embedded systems and embedded software.

Structure of the Event

The five-day event consists of a conference with plenary invited papers, regular papers, panels, hot-topic sessions, tutorials, workshops, special focus days and a track for executives. The scientific conference is complemented by a commercial exhibition showing the state-of-the-art in design and test tools, methodologies, IP and design services, reconfigurable and other hardware platforms, embedded software and (industrial) design experiences from different application domains, such as automotive, wireless, telecom and multimedia applications. The organization of user group meetings, fringe meetings, a university booth, a PhD forum, vendor presentations and social events offers a wide variety of extra opportunities to meet and exchange information on relevant issues for the design automation, design and test communities. Special space will also be allocated for EU-funded projects to show their results. 

Workshop Handouts


Please click a link below for download of the DATE 2019 workshop handout material. Download is possible only for registered workshop participants. You will receive the password at the on-site registration desk.

You don't need a username.

If a workshop handout is not linked below, the organizers have not yet provided the handout material. Please contact the organizer of the workshop.

DATE 2019 in Florence received over 1,600 registrations from international experts, who celebrated another exciting conference edition


The DATE 2019 Conference and Exhibition attracted more than 1,600 registrations from over 40 countries and concluded with excellent feedback from both participants and exhibitors.

DATE combines the world’s favourite electronic systems design and test conference with an international exhibition for electronic design, automation and test, from system-level hardware and software implementation right down to integrated circuit design. This year, the conference was held in Florence, Italy, for the first time. It took place at the Firenze Fiera from 25 to 29 March 2019.

On Monday, the DATE week started with five in-depth technical tutorials on the main topics of DATE as well as a hands-on industry tutorial given by leading experts in their respective fields. The topics covered Machine Learning for Manufacturing and Test, OpenCL Design Flows for FPGAs, Approximate Computing, Hardware-based Security, and Safety and Security in Automotive, while the hands-on tutorial was on Quantum Computing with IBM Q and Qiskit.

During the Opening Ceremony on Tuesday, plenary keynote lectures were given by Astrid Elbe, Managing Director of Intel Labs Europe, and Jürgen Bortolazzi, Director Driver Assistance Systems and Highly Automated Driving at Porsche. On the same day, the Executive Track offered a series of business panels with executive speakers from companies leading the design and automation industry, discussing hot topics. Furthermore, a talk by Claudio Giorgione, Curator of the Leonardo Department at the National Museum of Science and Technology Milano, gave insight into life and work of Leonardo da Vinci in line with the 500th anniversary of his death, which is celebrated in Florence in 2019.

DATE Best Paper Awards


Each year the Design, Automation and Test in Europe Conference presents awards to the authors of the best papers. The selection is performed by the award committee composed of the Track Chairs Franco Fummi, Ian O’Connor, Cristiana Bolchini and Valeria Bertacco and the following members: Philip Brisk, Andrea Calimera, Suhaib Fahmy, Frédéric Mallet, Ingo Sander, Ayse Kivilcim Coskun, Pascal Vivet, Jaume Abella, Georges Gielen, Tulika Mitra, Graziano Pravadelli, Dirk Ziegenbein.


The DATE 2019 best papers are:


D Track

Enhancing Reliability of STT-MRAM Caches by Eliminating Read Disturbance Accumulation
Elham Cheshmikhani1, Hamed Farbeh1, Hossein Asadi1
1 Sharif University of Technology, 2 Amirkabir University of Technology


A Track

When Capacitors Attack: Formal Method Driven Design and Detection of Charge-Domain Trojans
Xiaolong Guo1, Huifeng Zhu2, Yier Jin1, Xuan Zhang2
1University of Florida, 2Washington University in St. Louis


T Track

Error-Shielded Register Renaming Subsystem for a Dynamically Scheduled Out-of-Order Core
Ron Gabor1, Yiannakis Sazeides2, Arkady Bramnik2, Alexandros Andreou2, Chrysostomos Nicopoulos2, Yanfeng Li2, Karyofyllis Patsidis3, Dimitris Konstantinou3, Giorgos Dimitrakopoulos
1 Intel, 2 University of Cyprus, 3Democritus University of Thrace


E Track

Data Subsetting: A Data-Centric Approach to Approximate Computing
Younghoon Kim1, Swagath Venkataramani2, Nitin Chandrachoodan3, Anand Raghunathan1
1 Purdue University, 2 IBM T. J. Watson Research Center, 3Indian Institute of Technology Madras

DATE 2019 Impressions


Opening Session


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Monday Tutorials and PhD Forum

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Tutorial Handouts


EDAA Outstanding Dissertations Award 2018 - The Winners are ...


Kaisheng Ma and Lorena AnghelTopic 1: Kaisheng Ma, Ph.D. (Pennsylvania State University; Advisors: V. Narayanan, John Sampson @ Penn State and Y. Xie @UCSB); Thesis: “Self-Powered Internet-of-Things Nonvolatile Processor and System Exploration and Optimization”.

Anastasios Psarras and Lorena AnghelTopic 2: Anastasios Psarras, Ph.D. (U. of Thrace, Greece; Advisor: G. Dimitrakopoulos); Thesis: “High Performance Networks-on-Chip”.

Hassan Najafi and Lorena AnghelTopic 3: Hassan Najafi, PhD. (U. of Minnesota, USA; Advisor: D. Lilja); Thesis: “New Views for Stochastic Computing: From Time-Encoding to Deterministic Processing”.

Meng Li and Lorena AnghelTopic 4: Meng Li, Ph.D. (U. of Texas at Austin; Advisor: D. Z Pan); Thesis: “A Synergistic Framework for Hardware IP Privacy and Integrity Protection”.

DATE Best IP Award 2019


The DATE Best IP Award 2019 goes to:

Giulia Meuli1, Mathias Soeken1, Martin Roetteler2, Nikolaj Bjorner2 and Giovanni De Micheli1
1EPFL, CH; 2Microsoft, US

PhD Forum Best Poster Prize supported by EDAA, ACM Sigda and IEEE CEDA


The PhD Forum Best Poster Prizes goes to:

Andreas Grimmer and Giorgio Di NataleAndreas Grimmer, Johannes Kepler University Linz, AT

"Automatic Methods for the Design of Droplet Microfluidics"

Tobias Schwarzer and Giorgio di NataleTobias Schwarzer and Jürgen Teich, Friedrich-Alexander-Universität Erlangen-Nürnberg, DE

"System-level Mapping and Synthesis of Data Flow-Oriented Applications on MPSoCs"

DATE 2019 Awards Ceremony


DATE Fellow Award and IEEE CEDA Service Award

Jan Madsen
Technical University of Denmark, DK
For outstanding service contribution as General Chair of DATE 2018
Jan Madsen

DATE Fellow Award

Jano Gebelein
Goethe-University Frankfurt, DE
elevated to DATE Fellow
Jano Gebelein

IEEE Fellow Award

Antun Domic
Synopsys, US
elevated to IEEE Fellow
Antun Domic
Luca Fanucci
University of Pisa, IT
elevated to IEEE Fellow
Luca Fanucci

IEEE CS TTTC Outstanding Contribution Award

Jürgen Teich
Friedrich-Alexander-Universität Erlangen-Nürnberg, DE
Jürgen Teich

EDAA Achievement Award 2019 goes to Jacob Abraham


The Achievement Award is given to individuals who made outstanding contributions to the state of the art in electronic design, automation and testing of electronic systems in their life. In order to be eligible, candidates must have made innovative contributions which had an impact on the way electronic systems are being designed.

Jacob A. Abraham

Jacob A. Abraham is a Professor in the Department of Electrical and Computer Engineering at the University of Texas at Austin. He is also director of the Computer Engineering Research Center and holds a Cockrell Family Regents Chair in Engineering. He received the Bachelor's degree in Electrical Engineering from the University of Kerala, India, in 1970. His M.S. degree, in Electrical Engineering, and Ph.D., in Electrical Engineering and Computer Science, were received from Stanford University, Stanford, California, in 1971 and 1974, respectively. From 1975 to 1988 he was on the faculty of the University of Illinois, Urbana, Illinois.

Professor Abraham's research interests include VLSI test and verification, resilient and secure systems, and neuroscience related to cognition. He has been the principal investigator of many contracts and grants, and a consultant to industry and government. He has over 500 publications, and has been included in a list of the most cited researchers in the world. He has supervised more than 90 Ph.D. dissertations, and is particularly proud of the accomplishments of his students, many of whom occupy senior positions in academia and industry. He has served as associate editor of several archival journals related to EDA, and as chair of the IEEE Computer Society Technical Committee on Fault-Tolerant Computing. He has been elected Fellow of the IEEE as well as Fellow of the ACM, and is the recipient of the 2005 IEEE Emanuel R. Piore Award, the 2017 Jean-Claude Laprie Award, and the 2017 IEEE Test Technology Technical Committee Lifetime Contribution Medal.

DATE Proceedings

DATE 2019 Proceedings are available

Access Proceedings also from

All DATE Proceedings will also be publically available two years after DATE! Meanwhile you will find current proceedings at IEEE Xplore Digital Library or ACM Digital Library!

The publically available proceedings are here:

University Booth at DATE 2019 - Final Programme


The final programme of the University Booth at DATE 2019 is available online below and here and for download as PDF document within the DATE 2019 booklet available here (page 146 ff). The booklet is also within your conference bag that you receive at the registration.

The University Booth is organised during DATE and will be located in booth 1 of the exhibition area. All demonstrations will take place from Tuesday, March 26 to Thursday, March 28, 2019 during DATE. Universities and public research institutes have been invited to submit hardware or software demonstrators.

The University Booth programme is composed of 32 demonstrations from 10 different countries, presenting software and hardware solutions. The programme is organised in 9 sessions of 2 or 2.5 h duration and will cover the topics:

  • Electronic Design Automation Prototypes
  • Hardware Design and Test Prototypes
  • Future and Emerging Technologies Prototypes
  • Autonomous Systems Prototypes

The University Booth at DATE 2019 invites you to booth 1 to find out more about the latest trends in software and hardware from the international research community.

Keynotes at DATE 2019


TUESDAY OPENING CEREMONY (Session 1.1 - 08:30–10:30 at Palazzo dei Congressi)

Astrid Elbe1st Keynote: Working with Safe, Deterministic and Secure Intelligence from Cloud to Edge

Astrid Elbe, Managing Director Intel Labs Europe, Intel, DE


The Internet of Things (IoT) will be the largest revolution in the data economy. At Intel, we understand the exponential power of data, and we’re making it practical and economical to put it to work from the edge to the cloud. Intel® technologies purpose-built for IoT deliver optimized performance at every point, practical ways to use artificial intelligence, broad connectivity support, and a built-in foundation of functional safety, time determinism and security to help protect and make dependable your data and systems. By harnessing the massive flood of data generated by connected things—and using it to gain actionable insights—we’ll accelerate business transformation to a degree never seen before.

Managing services and infrastructure at the edge is a complex balancing act that has to meet much more demanding timing and dependability constraints and requires vastly more speed and precision than in a conventional cloud data center. Satisfying the competing objectives of stringent Quality of Service (QoS) and workload consolidation in this complex IoT environment requires new approaches and advancements. Virtualization alone does not deliver the full potential for this IoT transformation. E.g. for challenging industrial workloads an automatic and self-managing approach will be needed.

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Dr. Astrid Elbe is Managing Director of Intel Labs Europe leading Intel’s research efforts in Europe as an essential group driving Intel strategy and hence company transformation.

The organization is focused on Edge Computing Research with a particular emphasis on Dependable Cyber Physical Systems.

Astrid brings >20 years of experience in semiconductor industry in various R&D and Engineering Management roles at Infineon Technologies Security and Wireless Business Group and within Intel Product Divisions. She studied Physics and Mathematics as well as Technology and Innovation Management. Astrid holds a PhD in Surface Physics and has more than 20 patents in areas including cryptography and microarchitecture.

Jürgen Bortolazzi2nd Keynote: Assisted and Automated Driving

Jürgen Bortolazzi, Porsche, DE

Abstract: Since the introduction of Park Distance Control and Adaptive Cruise Control in the Mid 2000s, PORSCHE follows a systematic strategy to adapt driver assistance and automated driving to their product lines. There is no contradiction to the philosophy of a sports car: customers that enjoy driving on their own in case of appropriate traffic conditions expect significant ease of driving in stressful, time-consuming situations like traffic jams, or heavily occupied parking spaces. Furthermore, new functionalities like the predictive Innodrive system enabling efficient cruise control based on sophisticated planning algorithms provides a perfect contribution to the PORSCHE Intelligent Performance strategy.

Although the common discussion focuses on the higher levels of automation from SAE Level 3 to Level 4, at least for the next decade Level 1 and 2 systems will play a significant role being the technological state-of-the-art for a majority of cars. Therefore, PORSCHE focuses on increasing the performance and functionality of Level1/2 driver assistance system in parallel to participating in development programs to enable Level3/4 automated driving. This offers the opportunity to systematically build the necessary competency both in the technological fields of sensing, sensor fusion, planning and control as well as the necessary processes, methods and tools that are mandatory to develop, approve and release higher level automated systems. Systems Engineering has to be combined with approaches to process very large amounts of data whereas traditional random road based testing has to be replaced by a combination of virtual and systematic real world testing. Last but not least, a new end-to-end EE architecture is necessary to provide the seamless integration of the vehicle into an IT based service infrastructure.

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The keynote will address the following topics:

  • Benefits and challenges of assisted and automated driving
  • Status of L1/2 assisted driving
  • Challenges and technology assets for L3/4 automated driving
  • Data driven development methodologies
  • End-to-End Electronic Architecture (E³)

Bio: Jürgen Bortolazzi serves as head of engineering for advanced driver assistance and automated driving at Porsche. During his 25 year industrial career, Mr. Bortolazzi had several leading positions at Porsche and Mercedes Benz Cars focusing on E/E Architecture, electronic safety and driver assistance systems as well as intelligent lighting. He has initiated and managed several vehicle industry wide activities such as the OSEK/VDX and AUTOSAR software architecture, the FlexRay vehicle communication system, model based E/E Architecture Development as well as intelligent LED lighting systems.

Since 2007, Mr. Bortolazzi is a honorary professor at the Karlsruhe Institute of Technology and is engaged in teaching Systems Engineering for Automotive Electronics as well as graduating PhD students. Prior to his industrial career, Mr. Bortolazzi headed the Electronic Systems and Microsystems department at the Computer Science Research Institute in Karlsruhe and the Systems Engineering research group at the Fraunhofer Institute/University of Erlangen-Nuernberg. Mr. Bortolazzi received his Dipl.-Ing. in Electronic Engineering as well as his PhD degree from the University of Erlangen-Nuernberg.

TUESDAY Lunchtime Keynote (Session 3.0 - 13:50–14:20)

Claudio GiorgioneKeynote: Leonardo da Vinci, Humanism and Engineering between Florence and Milan

Claudio Giorgione, Curator, Museo Nazionale della Scienza e della Tecnologia Leonardo da Vinci, Milano, IT

Abstract: The machines and mechanical elements drawn by Leonardo through the course of his itinerary as engineer and technologist belong to the most disparate fields, highlighting his curiosity about the technological culture of his times. Just as for the other sectors of his activity, the first machines depicted by Leonardo follow in the tradition of the Renaissance Florentine workshop and are characterized by a practical, empirical approach aimed at resolution of problems progressively as they arose. During his first Milanese period (1482-1499), Leonardo was experimenting with, and refining ever more effective graphical systems of representation, which he would proceed in applying also to other sectors, like anatomy, architecture, and military engineering. Sections, prospect views, and transparent views were used to decompose machines into their constituent elements, finding solutions for automating and rendering more efficient the existing traditional mechanisms, or for conceiving completely new mechanisms. Leonardo moved, particularly in the 1490s, from documentation of practical problems to a more theoretical analysis of the principles regulating the functioning of machines, from the study of mechanical elements to their inter-relation. The studies on friction and on motion in general are to be inserted into this perspective, which led him to the idea of compiling a treatise on mechanics, based on the analysis of mechanisms and gears, the so-called “elementi macchinali”.

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Bio: Claudio Giorgione graduated in History of Art at the Università degli Studi di Milano with a dissertation about the Renaissance milanese painter Bernardino Luini. He has been working at Museo Nazionale della Scienza e della Tecnologia Leonardo da Vinci since 1997, and is currently the Curator of the Leonardo Art and Science Department of the Museum. As an art historian he holds lectures and conferences. He is the author of the book "Leonardo da Vinci. The collection of models, "published by the Museum in 2009, and has curated and co-edited the exhibition and catalogue "Leonard de Vinci. La nature e l’invention” displayed at the Citè des Sciences in Paris, and published by Editions de la Martiniere in 2012 during for the exhibition at the Cité des Sciences in Paris "Leonard de Vinci. Projects, dessins, machines ". He also curated the exhibition "Leonardo da Vinci, nature, art and science" in Incheon, South Korea, in 2009, and the exhibition "The Ideal City in the Renaissance" in the Pavillion of National Museum of Shanghai during the World Expo 2010 in Shanghai, China. He also wrote the essays “Leonardo e il disegno di Macchine” in the volume “Leonardo da Vinci. 1452-1519”, Skira, 2015, "Leonardo, la Fabbrica e il Tiburio" in the volume "Leonardo da Vinci and the construction of the Cathedral of Milan", Silvana Editoriale, 2012 and "Leonardo da Vinci and machines: body shape and automation" for the catalogue of the exhibition "Bodies, automata and robots", held in Lugano, Switzerland, 2009.

WEDNESDAY Special Day "Heterogeneous Computing: Embedded meets Hyperscale and HPC"

David PellerinKeynote: Heterogeneous, High Scale Computing in the Era of Intelligent, Cloud-Connected Devices (Session 7.0 - 13:50–14:20)

David Pellerin, Amazon, US

Abstract: Rapid advances in connected devices, coupled with machine learning and “data lake” methods of advanced analytics, have led to an explosion in demand for non-traditional, highly scalable computing and storage platforms. This increasing demand is being seen in the public cloud as well as in cloud-connected IoT edge devices. AI/ML is at the heart of many the newest, most advanced analytics and IoT applications, ranging from robotics and autonomous vehicles, to cloud-connected products such as Alexa, to smart factories and consumer-facing services in the financial and healthcare sectors. In support of these important workloads, alternative methods of computing are being deployed in the cloud and at the edge. These alternative, heterogeneous computing methods include CPUs, GPUs, FPGAs, and other emerging acceleration technologies. This talk presents examples of such use-cases within Amazon, as well examples of how Amazon customers increasingly rely on AI/ML, accelerated using alternative computing methods and coupled with smart, cloud-connected devices to create next-generation intelligent products. The talk will conclude with examples of how cloud-based semiconductor design is being enhanced using these same methods.

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Bio: David Pellerin serves as Head of Worldwide Business Development for Infotech/Semiconductor at Amazon Web Services. Prior to joining AWS, Mr. Pellerin had a career in electronic design automation and hardware-accelerated reconfigurable computing. He has experience with digital logic simulation and optimization, high-level synthesis, grid and cluster computing, and embedded systems for image, video, and network processing. He has published five Prentice Hall technical books on EDA and FPGA-related topics.

THURSDAY Special Day on "Model-Based Design of Intelligent Systems"

Edward A. LeeKeynote: A Fundamental Look at Models and Intelligence (Session 11.0 - 13:20–13:50)

Edward A. Lee, University of California, Berkeley, US

Abstract: Models are central to building confidence in complex software systems. Type systems, interface theories, formal semantics, concurrent models of computation, component models, and ontologies all augment classical software engineering techniques such as object-oriented design to catch errors and to make software more modular and composable. Every model lives within a modeling framework, ideally giving semantics to the model, and many modeling frameworks have been developed that enable rigorous analysis and proof of properties. But every such modeling framework is an imperfect mirror of reality. A computer system operating in the physical world may or may not accurately reflect behaviors predicted by a model, and the model may not reflect behaviors that are critical to correct operation of the software. Software in a cyber-physical system, for example, has timing properties that are rarely represented in formal models. As artificial intelligence gets more widely used, the problem gets worse, with predictability and explainability seemingly evaporating. In this talk, I will examine the limitations in the use of models. I will show that two very different classes of models are used in practice, classes that I call "scientific models" and "engineering models." These two classes have complementary properties, and many misuses of models stem from confusion about which class is being used. Scientific models of intelligent systems are very different from engineering models.

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Bio: Prof. Edward A. Lee Lee is the Robert S. Pepper Distinguished Professor of the Graduate School in Electrical Engineering and Computer Science at UC Berkeley, where he has been on the faculty since 1986. He is the author of Plato and the Nerd - The Creative Partnership of Humans and Technology (MIT Press, Fall 2017), Introduction to Embedded Systems - A Cyber-Physical Systems Approach (MIT Press, 2017), a number of other textbooks and research monographs, and more than 300 papers and technical reports. Lee has delivered more than 180 keynote talks and other invited talks at venues worldwide and has graduated at least 35 PhD students. Professor Lee's research group studies cyber-physical systems, which integrate physical dynamics with software and networks. His focus is on the use of deterministic models as a central part of the engineering toolkit for such systems. He has led the development of several influential open-source software packages, notably Ptolemy and its various spinoffs.

Lee is the director of iCyPhy, the Berkeley Industrial Cyber-Physical Systems Research Center, and the Ptolemy project. From 2013-2017, he was director of the nine-university TerraSwarm Research Center. From 2005-2008, he served as chair of the EE Division and then chair of the EECS Department at UC Berkeley. He received his BS degree in 1979 from Yale University, with a double major in Computer Science and Engineering and Applied Science, an SM degree in EECS from MIT in 1981, and a PhD in EECS from UC Berkeley in 1986. From 1979 to 1982 he was a member of technical staff at Bell Labs in Holmdel, New Jersey, in the Advanced Data Communications Laboratory. He is a co-founder of BDTI, Inc., where he is currently a Senior Technical Advisor, and has consulted for a number of other companies.

Lee is a Fellow of the IEEE, was an NSF Presidential Young Investigator, won the 1997 Frederick Emmons Terman Award for Engineering Education, and received the 2016 Outstanding Technical Achievement and Leadership Award from the IEEE Technical Committee on Real-Time Systems (TCRTS).