Conference Information
ICCAD 2022: International Conference on Computer-Aided Design
https://www.iccad.com/index.phpSubmission Date: |
2022-05-16 |
Notification Date: |
2022-07-21 |
Conference Date: |
2022-10-30 |
Location: |
San Diego, California, USA |
Years: |
41 |
CCF: b CORE: a QUALIS: a1 Viewed: 59780 Tracked: 90 Attend: 9
Call For 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 HW/SW prototyping and emulation on FPGAs System-level design case studies and applications System-level issues for 3D integration Analysis and optimization of data centers Micro-architectural transformation Memory architecture and system synthesis System communication architecture Network-on-chip design methodologies Modeling and simulation of heterogeneous platforms High-level synthesis for heterogeneous computing Power/performance analysis of heterogeneous platforms Programming environment of heterogeneous computing Application driven heterogeneous platforms for big data, machine learning etc. Applications and designs for systems based on optical devices 1.2 Embedded Systems and Cyberphysical Systems (CPS) and Internet-of-Things (IoT) HW/SW co-design for embedded systems Multi-/Many-core processor, GPU and heterogeneous SoC for embedded systems Static and dynamic reconfigurable architectures Domain-specific accelerators Memory hierarchies and management System-level consideration of custom storage architectures Energy/power management and energy harvesting AI and machine learning for embedded systems CAD for IoT Security, privacy, reliability for IoT Edge and fog computing Modeling and analysis of CPS systems Dependable, safe, and secure CPS systems design Green computing (smart grid, energy, solar panels, etc.) CAD for application domains including wearables, health care, autonomous systems, smart cities 1.3 Neural Network and Deep Learning Hardware and architecture for neural networks Compilers for deep neural networks Design method for learning on a chip System-level design for (deep) neural computing Neural network acceleration techniques including GPGPU, FPGA and dedicated ASICs Safe and secure machine learning Hardware accelerators for Artificial Intelligence 1.4 Neuromorphic Computing Network and neuron models Devices and hardware implementations Non-von Neumann architectures Event or spike-based hardware systems CAD for bio-inspired and neuromorphic systems 1.5 Embedded Software Real-time software and operating systems Scheduling and execution time analysis Middleware, virtual machines, runtime support, and resource management Profiling and compilation techniques Software synthesis, testing, validation, verification, and optimization Software design for multicores, GPUs, and heterogeneous embedded architectures Software for safe autonomy Energy-efficient embedded software 1.6 Hardware Security Hardware Trojans, side-channel attacks, fault attacks and countermeasures Detection and prevention of hardware Trojans New physical attack vectors or methods for ASICs and FPGAs Nanoelectronic security Hardware-based security (CAD for PUF’s, RNG, AES etc.) Artificial Intelligence for attack prevention systems Design and CAD for security Security implications of CAD 1.7 Security Architecture and Systems Embedded software forensics Embedded software security Trustworthy embedded software Trusted execution environments Cache-side channel attack and mitigation Privacy-preserving computation Cloud Computing data security Internet-of-Things security Automotive/autonomous system security FPGA and reconfigurable fabric security Sensor network security Split Manufacturing for security Supply chain security and anti-counterfeiting 1.8 Security Architecture and Systems 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 architectures, algorithms, techniques Energy- and thermal-aware dark silicon system design and optimization Run-time management for the dark silicon New hardware techniques for approximate/stochastic computing 2) SYNTHESIS, VERIFICATION, & PHYSICAL DESIGN 2.1 High-Level, Behavioral, and Logic 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 Testing, 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 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 2.3 Cell-Library Design, Partitioning, Floorplanning, Placement Cell-library design and optimization Transistor and gate 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 Post-synthesis optimization for FPGAs 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 Layout and routing issues for optical interconnects 3) SOC ANALYSIS, DESIGN, SIMULATION, & TESTING 3.1 Design for Manufacturability and Design for Reliability 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 DFM for emerging devices (3D, nanophotonics, non-volatile logic/memory, etc.) Machine learning for smart manufacturing and process control Analysis and optimization for device-level reliability issues (stress, aging effects, ESD, etc.) Analysis optimization for interconnect reliability issues (electromigration, thermal, etc.) Reliability issues related to soft errors Design for resilience and robustness Reliability issues for emerging devices (3D, optical, non-volatile, etc.) 3.2 Timing, Power and Signal Integrity Analysis and Optimization 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 3.3 CAD for Analog/Mixed-Signal/RF and Multi-Domain Modeling CAD for analog, mixed-signal, RF CAD for mixed-domain (semiconductor, nanoelectronic, MEMS, and electrooptical) devices, circuits, and systems CAD for nanophotonics and optical devices FPGA-based prototyping for analog, mixed-signal, RF systems Analog, mixed-signal, and RF noise modeling and simulation 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 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, computing, and communication
Last updated by Dou Sun in 2022-01-28
Acceptance Ratio
Year | Submitted | Accepted | Accepted(%) |
---|---|---|---|
2003 | 490 | 129 | 26.3% |
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Related Journals
CCF | Full Name | Impact Factor | Publisher | ISSN |
---|---|---|---|---|
Journal of Computer-Aided Molecular Design | 3.686 | Springer | 0920-654X | |
b | Computer Aided Geometric Design | 1.382 | Elsevier | 0167-8396 |
International Journal of Computerized Dentistry | Quintessenz Verlags GmbH | 1463-4201 | ||
Journal of Computer Assisted Learning | 2.451 | Wiley-Blackwell | 0266-4909 | |
a | International Journal of Computer Vision | 7.410 | Springer | 0920-5691 |
IET Journal on Image Processing | IET | 1751-9659 | ||
b | IEEE Transactions on Cybernetics | 8.803 | IEEE | 2168-2267 |
Integrated Computer-Aided Engineering | 4.904 | IOS Press | 1069-2509 | |
International Journal of RF and Microwave Computer-Aided Engineering | 1.472 | Wiley-Blackwell | 1096-4290 | |
Computers | MDPI | 2073-431X |
Full Name | Impact Factor | Publisher |
---|---|---|
Journal of Computer-Aided Molecular Design | 3.686 | Springer |
Computer Aided Geometric Design | 1.382 | Elsevier |
International Journal of Computerized Dentistry | Quintessenz Verlags GmbH | |
Journal of Computer Assisted Learning | 2.451 | Wiley-Blackwell |
International Journal of Computer Vision | 7.410 | Springer |
IET Journal on Image Processing | IET | |
IEEE Transactions on Cybernetics | 8.803 | IEEE |
Integrated Computer-Aided Engineering | 4.904 | IOS Press |
International Journal of RF and Microwave Computer-Aided Engineering | 1.472 | Wiley-Blackwell |
Computers | MDPI |
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