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ICCAD 2016 - 2016 International Conference on Computer Aided Design

Date2016-11-07 - 2016-11-10

Deadline2016-04-18

VenueAustin, TX, USA - United States USA - United States

Keywords

Websitehttps://iccad.com

Topics/Call fo Papers

Original technical submissions on, but not limited to, the following topics are invited:
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.)

Last modified: 2016-01-16 22:44:10