Technical Programme Committee 2019

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Track D: Design Methods and Tools (click to open)

addresses design automation, design tools and hardware architectures for electronic and embedded systems. The emphasis is on methods, algorithms, and tools related to the use of computers in designing complete systems. The track’s focus includes significant improvements on existing design methods and tools as well as forward-looking approaches to model and design future system architectures, design flows, and environments.

Track Chair: Franco Fummi, Università di Verona, IT, Contact

Topics

D1 System Specification and Modeling (click to open)

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Modeling and specification methodologies for complex HW-SW systems; requirements engineering; multi-domain/multi-criteria specifications; meta-modeling; design and specification languages; application and workload models; models of computation and their (static) analysis; models of concurrency and communication; model- and component-based design; refinement and validation flows; modeling and analysis of functional and non-functional system properties; performance modeling; timing analysis; predictive and learning-based models; system-level platform and architecture models and simulation ; heterogeneous systems and models.

D2 System Design, High-Level Synthesis, and Optimization (click to open)

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High-level and system-level synthesis techniques; high-level design languages; system-level models for design and optimization; methods for HW-SW co-design and partitioning; control and data flow analysis; HW-SW interface and protocol communication synthesis; interface-based and correct-by-construction designs; high-level and system-level scheduling, allocation, and binding techniques; multi-objective optimization techniques (e.g., performance, power, reliability, security) for high-level and system design; platform-based and reuse-centric design methods and architectures; HW/SW design patterns for multi-processor system-on-chip (MPSoC); system-level design of heterogeneous computing systems.

D3 System Simulation and Validation (click to open)

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Simulation-based and semi-formal validation and verification of: SoCs, cyber-physical systems and emerging architectures at any level, from system to circuit, including digital, analog, interconnect and mixed-signal components. In addition: testbench and assertion generation and qualification, checker synthesis and optimization, multi-domain and mixed-critical simulation techniques, acceleration-driven and emulation-based approaches for verification and validation, simulation-based pre- and post-silicon diagnosis and debugging solutions, validation and verification for IoT and cloud infrastructures and semi-formal methods for security verification and detection of vulnerabilities; with or without the employment of artificial intelligence or machine learning techniques.

D4 Formal Methods and Verification (click to open)

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Formal verification and specification techniques (including equivalence checking, model checking, symbolic simulation, theorem proving, abstraction, decomposition techniques and compositional reasoning); core algorithmic technologies supporting formal verification such as SAT and SMT techniques; formal verification of hardware (including IPs, SoCs, and cores), software, HW-SW systems, timed, or hybrid systems; semi-formal verification techniques; integration of verification into design flows; challenges of multi-cores (as verification targets or as verification host platforms); formal synthesis.

DT5 Design and Test for Analog and Mixed-Signal Circuits and Systems, and MEMS (click to open)

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Analog and mixed-signal architecture, system and circuit synthesis and optimization; formal methods and symbolic techniques; layout synthesis and topology generation; HW description languages and models of computation; innovative circuit topologies and architectures; analog and mixed-signal IC design; MEMS; design for manufacturability and design for yield; design for reliability; self-healing and self-calibration; test generation; fault modeling and simulation; design for testability; built-in self-test; fault diagnosis; defect characterization and failure analysis; on-line test and fault tolerance; test metrics and economics.

DT6 Design and Test of Secure Systems (click to open)

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Hardware security primitives, including: cryptographic methods; side channel analysis (includling modeling and simulation); fault injection attacks; physically unclonable functions (PUF) and true random number generators; HW trojans (attacks, detection, or countermeasures); design-for-trust; test infrastructures for secure devices; trusted manufacturing; counterfeit detection and avoidance; HW tampering attacks and protection; modeling and countermeasures for fault attacks; machine learning for hardware security evaluation .

D7 Network on Chip (click to open)

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Architecture, design methodologies, modeling and simulation techniques for intra- and inter-chip interconnects, NoC and communication-centric design, including: topology, switching, routing and flow control; communication-aware frameworks for Quality-of-Service, security, robustness, power, variability and thermal management; design space exploration frameworks and programming models for communication-centric design; interconnects for domain-specific applications (high performance computing, approximate computing, machine learning, 5G, etc.); design of interconnects using alternative/emerging technologies (photonics/optics, wireless, 3D stacking etc.)

D8 Architectural and Microarchitectural Design (click to open)

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Architectural and microarchitectural design techniques, including: memory systems; architectural methods for improving power and energy efficiency; multi/many-core architectures; multi-threading techniques and support for parallelism; application-specific processors and accelerators; architectural support for reliability, safety, and timing predictability.

D9 Power Modeling, Low-Power Design, and Power-Aware Optimization (click to open)

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Theories, tools and methodologies for power modeling, estimation and optimization for electronics systems, applicable to at all layers of design (hardware, software, systems and cross-layers) with a strong emphasis on "power" as the primary optimization target, ranging from ultra-low power systems to high-performance systems also including energy harvesting, cyber-physical systems, large-scale battery applications (electric vehicles, energy storage systems, etc.), Internet of Things, and Artificial Intelligence.

D10 Temperature and Variability Aware System Design and Optimization (click to open)

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Theories, tools and methodologies for power modeling, estimation and optimization for electronics systems, applicable to at all layers of design (hardware, software, systems and cross-layers) with a strong emphasis on "power" and "energy" as the primary optimization target, ranging from ultra-low power systems to high-performance systems also including energy harvesting, cyber-physical systems, large-scale battery applications (electric vehicles, energy storage systems, etc.), Internet of Things, and artificial intelligence.

D11 Reconfigurable Computing (click to open)

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Reconfigurable computing platforms and architectures; heterogeneous platforms (e.g., including FPGA/GPU/CPU); reconfigurable processors; statically and dynamically reconfigurable systems and components; reconfigurable computing for machine learning, data center and high-performance computing; FPGA architecture; FPGA partial reconfiguration; design methods and tools for reconfigurable computing.

D12 Logical and Physical Analysis and Design (click to open)

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Combinational and sequential synthesis for deep-submicron circuits; data structures for synthesis; technology mapping; performance and timing-driven synthesis; logic synthesis for emerging technologies; combined logic synthesis and layout design and characterization; statistical timing analysis and closure; hierarchical and non-hierarchical controller synthesis; methods for FSM optimization, synthesis and analysis; asynchronous and mixed synchronous/asynchronous circuits; FPGA synthesis; arithmetic circuits; floorplanning; automated place-and-route; interconnect- and performance-driven layout; process technology developments; parasitic and variation-aware extraction for on-chip interconnect and passives; macro-modeling, behavioral and reduced order modeling; modeling and analysis of noise due to electromagnetic interaction of signal, power/ground, and substrate.

D13 Emerging Design Technologies for Future Computing (click to open)

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Modeling, circuit design, and design automation flows for future computing, including: non-CMOS logic based on emerging devices (e.g., carbon nanotube or graphene based FETs, TFETs, NWFETs, single electron transistors, NEMS etc.); alternative interconnect technologies (e.g., optical, RF, 3D, carbon nanotubes, graphene nanoribbons, spintronics, etc.); monolithic 3D integration (including TSV modeling and design space exploration).

D14 Emerging Design Technologies for Future Memories (click to open)

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Modeling, circuit design, and design automation flows for future data storage systems, including non-CMOS memory (e.g., MRAM, STT-RAM, FeRAM, PCRAM, RRAM, OxRAM, quantum dots, etc.); memory-centric architectures (e.g., logic-in-memory, associative memories, non-volatile caches etc.); memory management techniques for emerging memories.


Track A: Application Design (click to open)

is devoted to the presentation and discussion of design experiences with a high degree of industrial relevance, real-world implementations, and applications of specific design and test methodologies. Contributions should illustrate innovative or record-breaking designs, which will provide viable solutions in tomorrow’s silicon, embedded systems, and large-scale systems. In topic A8, there is the opportunity to submit 2-page papers that expose industrial research and practice.

Track Chair: Ian O'Connor, Lyon Institute of Nanotechnology, FR, Contact

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A1 Power-efficient and Sustainable Computing (click to open)

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Application design experiences and real implementations of power-efficient systems or circuits with high industrial relevance or high environmental impact, especially targeting ultra-low-power, high-performance, or large-scale computing systems (such as MPSoCs, mobile systems, massively parallel computers, 2D/3D multi-/many-core systems, high-performance computing clusters, data centers, and cloud systems). Topics of interest include: software architectures for energy-efficient computing; virtualization; energy-efficient memory; low-power processors; emerging communication or computing systems (e.g., power-efficient machine learning accelerators); heterogeneous computing; resource management techniques; innovative data-center management strategies; SW/OS-level implementations in real systems and data centers; energy-efficient big data management; data centers powered by renewable energy sources and data centers in smart grids.

A2 Robotics and Industry 4.0 (click to open)

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Bringing together robotics and machine learning concepts requires research and development efforts in interdisciplinary domains. With Industry 4.0 and its goal of adding utility value through data analytics and optimiztion, the Topic "Robotics and Industry 4.0" will remain at the core of the value creation chain during the next decade. The topic covers the field of robotics on topics from sensors and sensory interpretations to kinematics in motion planning, from distributed software concepts for data collection and analysis to large-scale machine learning algorithms, and sensor-based robot and machine control to safe human-robot interaction concepts.

A3 Automotive Systems and Smart Energy Systems (click to open)

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Design experiences for automotive systems, energy-neutral embedded systems, smart energy systems (from uW to microgrid), and related Cyber-Physical applications. Topics of interest include: transient computing; energy harvesting circuits; MEMS; integrated sensors and transducers; RF architectures; in-vehicle networks; systems for electric vehicles; innovative concepts for power distribution, energy storage, grid monitoring and high-voltage structures; hardware solutions for runtime system management such as self-diagnostics and repair; energy generation; battery management, and renewable energy subsystems; optimization of system energy efficiency in the context of automotive or smart energy applications.

A4 Augmented Living and Personalized Healthcare (click to open)

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Design experiences covering the use of body area networks, assistive and wearable technologies, edge computing and IoT for healthcare, wellness and augmented living. Topics of interest include: technologies, devices, systems and paradigms (including approximate or significance-driven computing) for ultra-low/zero power systems for personal health and personalized medicine including non-intrusive or implantable miniaturized sensors and actuators, on-board performance optimization and contextualized power-management ; embedded IP and systems for audio, video, and computer vision domains ; intelligent sensor networks, systems, automation and environments for augmented living, assisted living, rehabilitation, healthcare and wellness ; embedded and edge-based machine learning for augmented living.

A5 Secure Systems, Circuits, and Architectures (click to open)

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Secure circuits and architectures, with an emphasis on design experiences, real system deployments, applications, and silicon prototypes. Topics of interest include: secure HW architectures; emerging technologies for secure circuits and architectures, novel architectures for embedded cryptography; demonstrations with fault or other physical attacks; embedded processors or co-processors for security; off-chip memories and network-on-chip and secure communication/integrity; demonstrations of HW-enabled security on real systems or prototypes; logic-level security; firmware security.

A6 Self-adaptive and Learning Systems (click to open)

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Self-adaptive systems, algorithms and techniques for run-time decision-making targeting various optimization goals such as compute performance, energy/power-efficiency or reliability and considering various architectural platforms, such as high-performance compute nodes, power-constrained edge computing technologies and reconfigurable systems. Topics of interests include: adaptive strategies for runtime resource management; application, design and tuning of machine learning techniques for offline and/or online modeling, prediction/forecasting and control of self-adaptive systems; hybrid offline/online techniques for online decision-making; context-aware adaptation strategies and mechanisms; application of diverse data mining, modeling and optimization techniques (control automation, game theory, etc.); design experiences and industrial use-cases of self-adaptive and learning systems.

A7 Applications of Emerging Technologies (click to open)

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Applications of and design methods for systems based on future and emerging technologies. Topics of interest include: neuromorphic and bio-inspired computing systems; bio-MEMS and lab-on-a-chip; emerging models of computation (e.g., quantum computing, reversible logic, approximate computing, stochastic computing); application case studies for emerging technologies (e.g., cryptography, wearable computing, e-textiles, energy-critical systems, etc.).

A8 Industrial Experiences Brief Papers (click to open)

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Short 2-page industrial papers are solicited. Submissions should relate to industrial research and practice, including: commercial and market trends; future research demand; developments in design automation, embedded software, applications and test; emerging markets; technology transfer mechanisms; on-line testing and fault tolerance for industrial applications. Pure product presentations and announcements are strongly discouraged and will not be considered for publication.


Track T: Test and Dependability (click to open)

covers all test, design-for-test, relia bility, and designfor-robustness issues, at system-, chip-, circuit-, and device-level for both analogue and digital electronics. Topics of interest also include diagnosis, failure mode analysis, debug and post-silicon validation challenges, and test or fault injection methods addressing system security.

Track Chair: Cristiana Bolchini, Politecnico di Milano, IT, Contact

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T1 Modeling and Mitigation of Defects, Faults, Variability, and Reliability (click to open)

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Identification, characterization, and modeling of defects, faults, and degradation mechanisms in conventional, advanced, or emerging technologies (FinFET, FDSOI, TSV, Memristor, MTJ, CNT, etc.); defect-based fault analysis; reliability analysis and modeling at device, circuit, or component level; process yield modeling and enhancement; design-for-manufacturability and design-for-yield; noise and uncertainty modeling at circuit and component level; modeling and mitigation of physical sources of errors such as process, voltage, temperature and aging variations at circuit or component level.

T2 Test Generation, Test Architectures, Design for Test, and Diagnosis (click to open)

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Test pattern generation for logic and delay faults, defect-based fault models, low-power ICs; fault simulation; test compression; power/thermal issues in test; test generation and test architectures for memories, FPGAs, microprocessors, NoC, SoC and 3D ICs; solutions for design-for-test, diagnosis, debug and post silicon validation; machine learning for IC testing; BIST; board and system test; volume diagnosis and yield analysis.

T3 Microarchitecture-Level Dependability (click to open)

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Micro/architectures for fault-tolerant systems against permanent, transient and soft errors, including (but not limited to) processors, memories and accelerators; micro/architectural solutions for safety- and mission-critical systems; analysis and evaluation of reliability, availability and maintainability; hardware/software micro/architectural solutions for fault detection, recovery and aging mitigation.

T4 System-Level Dependability (click to open)

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HW and SW solutions for availability, reliability and maintainability against permanent, intermittent, transient, and aging phenomena; system level error/fault modeling; dependability analysis and evaluation; beyond worst-case design solutions, reliable and fail-safe system design; on-line test and functional safety; runtime system management for self-diagnostics and repair; system/runtime orchestration of cross-layer solutions, application resilience, approximate computing for resilient systems, computational intelligence methods (AI/ML) for dependability including fault prediction, tolerance, detection, isolation, and mitigation; solutions for safety- and mission-critical systems, IoT and cloud infrastructures.

DT5 Design and Test for Analog and Mixed-Signal Circuits and Systems, and MEMS (click to open)

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Analog and mixed-signal architecture, system and circuit synthesis and optimization; formal methods and symbolic techniques; layout synthesis and topology generation; HW description languages and models of computation; innovative circuit topologies and architectures; analog and mixed-signal IC design; MEMS; design for manufacturability and design for yield; design for reliability; self-healing and self-calibration; test generation; fault modeling and simulation; design for testability; built-in self-test; fault diagnosis; defect characterization and failure analysis; on-line test and fault tolerance; test metrics and economics.

DT6 Design and Test of Secure Systems (click to open)

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Hardware security primitives, including: cryptographic methods; side channel analysis (includling modeling and simulation); fault injection attacks; physically unclonable functions (PUF) and true random number generators; HW trojans (attacks, detection, or countermeasures); design-for-trust; test infrastructures for secure devices; trusted manufacturing; counterfeit detection and avoidance; HW tampering attacks and protection; modeling and countermeasures for fault attacks; machine learning for hardware security evaluation .


Track E: Embedded and Cyber-Physical Systems (click to open)

is devoted to the modelling, analysis, design and deployment of embedded software or embedded/cyber-physical systems. Areas of interest include methods, tools, methodologies and development environments. Emphasis will also be on model-based design and verification, embedded software platforms, software compilation and integration, real-time systems, cyberphysical systems, networked systems, and dependable systems.

Track Chair: Valeria Bertacco, University of Michigan, US, Contact

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E1 Real-time and Dependable Systems (click to open)

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Real-time performance modeling, analysis and empirical evaluation; Worst-case performance analysis techniques; Worst-case execution time analysis; Real-time schedulability of multicore systems; Mixed-Criticality scheduling; Real-time operating systems, microkernels and software; Use of hardware virtualization techniques in time critical applications, Power-aware real-time systems; Industrial case studies of real-time, networked and dependable systems; Adaptive real-time systems; Dependable systems including safety and criticality; Network control and QoS for embedded applications;

E2 Embedded Systems for Deep Learning (click to open)

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Hardware and architectures, software and algorithmic approaches for artifical intelligence, machine learning and deep learning; resource-efficient and/or low-power embedded architectures for deep learning - specialized compute architectures for machine learning systems - approximate architectures for machine learning applications - learning from limited data sets - novel neural networks architectures and concepts - frameworks for probabilistic and deep learning programming - implementation of DNN applications on embedded systems

E3 Model-Based Design, Verification and Security for Embedded Systems (click to open)

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Verification techniques for embedded ranging from simulation, testing, model-checking, SAT and SMT-based reasoning, compositional analysis and analytical methods. Modeling, analysis and optimization of non-functional and performance aspects such as security, timing, memory usage, QoS and reliability. Model-based design of software architectures and deployment. Theories, languages and tools supporting model-based design flows covering software, control and physical components. Monitoring and run-time verification of embedded systems. Security attacks, protection and analysis of embedded systems' hardware and software.

E4 Embedded Software Architecture, Compilers and Tool Chains (click to open)

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Software architectures, programming paradigms, languages, compiler support, software tools, and techniques (e.g., simulators, synthesis tools) targeting embedded heterogeneous systems for domain-specific applications such as IoTs and wearables; embedded software support for approximate computation and FPGA/GPU based accelerators; memory communication protocols and hierarchy management, including caches, scratchpad, and non-volatile memories; code analysis, code optimization/generation to enhance performance, power/energy, code/data size, reliability, security, WCET, etc.; Real-time software, distributed system software, virtualization, and middleware for embedded systems, including resource-awareness, reconfiguration, energy/power management; compiler support for enhanced debugging, profiling, and traceability.

E5 Cyber-Physical Systems Design (click to open)

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Modeling, design, analysis, and optimization of Cyber-Physical Systems (CPS) also in case of large-scale cyber physical systems; verification and validation in CPS; safety and security in CPS; modeling, design, and analysis of internet-of-things as CPS; software-intensive CPS; data-mining and CPS; autonomous and semi-autonomous CPS and related issues; socio-technical systems (e.g., empowered consumer and organizational behavior in smart grids) and CPS; cognitive control for CPS; modeling, design and analysis of networked control, switched control, and distributed control systems: control/architecture co-design and architecture-aware controller synthesis.