1)SYSTEM-LEVEL CAD

1.1 System Design

• System-level specification, modeling, and simulation

• System design flows and methods

• HW/SW co-design, co-simulation, co-optimization, and co-exploration

• HW/SW platforms for rapid prototyping

• System design case studies and applications

• System-level issues for 3D integration

• Micro-architectural transformation

• Memory architecture and system synthesis

• System communication architecture

• Network-on-chip design methodologies and CAD

• Network-on-chip design case studies and prototyping

1.2 Hardware for Embedded Systems

• Multi-core/multi-processors systems

• HW/SW co-design for embedded systems

• Static and dynamic reconfigurable architectures

• Memory hierarchies and management

• System-level consideration of custom storage architectures (flash, phase change memory, STT-RAM, etc.)

• Application-specific instruction-set processors (ASIPs)

1.3 Embedded System Software

• Real-time software and operating systems

• Middleware and virtual machines

• Timing analysis and WCET

• Programming models for multi-core systems

• Profiling and compilation techniques

• Design exploration, synthesis, validation, verification, and optimization

1.4 System-level Security

• Hardware-based security (CAD for PUF’s, RNG, AES etc)

• Detection and prevention of hardware Trojans

• Side-channel attacks, fault attacks and countermeasures

• Split Manufacturing for security

• System software security techniques

• Design for security

• CAD for security

• Security implications of CAD

• Cyberphysical system security

• Nanoelectronic security

• Counterfeiting

• Supply chain security

1.5 Dark Silicon and Power/Thermal Considerations in System Design

• Power and thermal estimation, analysis, optimization, and management techniques for hardware and software systems

• Energy- and thermal aware application mapping and scheduling

• Energy- and thermal-aware dark silicon system design and optimization

• Run-time management for the dark silicon

1.6 Design Issues for Heterogeneous Computing & Cloud Computing

• Hardware-software partitioning of workloads

• Modeling and simulation of heterogeneous platforms

• High-level synthesis for heterogeneous computing

• Power/performance analysis of heterogeneous and cloud platforms

• Programming environment of heterogeneous computing

• Acceleration techniques including GPGPU and FPGA and dedicated ASIC’s

• Application driven heterogeneous platforms for big data, machine learning etc.

• Cloud Internet-of-Things (IoT) applications

• Interaction of Internet-of-Things (IoT) devices and the cloud

• Cloud computation for Internet-of-Things (IoT) devices

2) SYNTHESIS, VERIFICATION, & PHYSICAL DESIGN

2.1 High-level, Behavioral, and Logig Synthesis and Optimization:

• High-level/Behavioral/Logic synthesis

• Technology-independent optimization and technology mapping

• Functional and logic timing ECO

• Resource scheduling, allocation, and synthesis

• Interaction between logic synthesis and physical design

2.2 Validation, Simulation, and Verification

• High-level/Behavioral/Logic modeling and validation

• High-level/Behavioral/Logic simulation

• Formal, semi-formal, and assertion-based verification

• Equivalence and property checking

• Emulation and hardware simulation/acceleration

• Post-silicon functional validation

2.3 Cell-Library Design, Partitioning, Floorplanning, Placement

• Cell-library design and optimization

• Transistor, gate, and wiring sizing

• High-level physical design and synthesis

• Estimation and hierarchy management

• 2D and 3D partitioning, floorplanning, and placement

• Post-placement optimization

• Buffer insertion and interconnect planning

2.4 Clock Network Synthesis, Routing, and Post-Layout Optimization and Verification

• 2D and 3D clock network synthesis

• 2D and 3D global and detailed routing

• Package-/Board-level routing and chip-package-board co-design

• Post-layout/-silicon optimization

3) SOC ANALYSIS, SIMULATION, & TESTING

3.1 Design for Manufacturability

• Process technology characterization, extraction, and modeling

• CAD for design/manufacturing interfaces

• CAD for reticle enhancement and lithography-related design

• Variability analysis and statistical design and optimization

• Yield estimation and design for yield

• Physical verification and design rule checking

3.2 Design for Reliability

• Analysis and optimization for device-level reliability issues (stress, aging effects, ESD, etc.)

• Analysis for interconnect reliability issues (electromigration, thermal, etc)

• Reliability issues related to soft errors

• Design for resilience and robustness

3.3 Testing

• Digital fault modeling and simulation

• Delay, current-based, low-power test

• ATPG, BIST, DFT, and compression

• Memory test and repair

• Core, board, system, and 3D IC test

• Post-silicon validation and debug

• Analog, mixed-signal, and RF test

3.4 Timing, Power Networks, and Signal Integrity

• Deterministic and statistical static timing analysis and optimization

• Power and leakage analysis and optimization

• Circuit and interconnect-level low power design issues

• Power/ground network analysis and synthesis

• Signal integrity analysis and optimization

3.5 CAD for RF/Analog and Multi-Domain Modeling and Interconnect

• CAD for analog, mixed-signal, RF

• CAD for mixed-domain (semiconductor, nanoelectronic, MEMS, and electro-optical) devices, circuits, and systems

• CAD for nanophotonics

• Device, interconnect and circuit extraction and simulation

• Package modeling and analysis

• EM simulation and optimization

• Behavior modeling of devices and interconnect

• Modeling of complex dynamical systems (molecular dynamics, fluid dynamics, computational finance, etc.)

4) CAD FOR EMERGING TECHNOLOGIES, PARADIGMS, & APPLICATIONS

4.1 Biological Systems and Electronics, Brain Inspired Computing, and New Computing Paradigms

• CAD for biological computing systems

• CAD for systems and synthetic biology

• CAD for bio-electronic devices, bio-sensors, MEMS, and systems

• Design methods for learning on a chip

• Design methodologies for neuromorphic computing

• Design methods for stochastic and statistical computing

• Design methods for approximate computing

4.2 Nanoscale and Post-CMOS Systems

• New device structures and process technologies

• New memory technologies (flash, phase change memory, STT-RAM, memristor, etc.)

• Nanotechnologies, nanowires, nanotubes, graphene, etc.

• Quantum computing

• Optical devices and communication

• CAD for bio-inspired and neuromorphic systems

4.3 CAD for Cyber-Physical Systems

• CAD for Internet-of-Things (IoT) and sensor networks

• Design issues for Internet-of-Things (IoT) Devices

• CAD for automotive systems and power electronics

• Analysis and optimization of data centers

• CAD for display electronics

• Green computing (smart grid, energy, solar panels, etc.)