Conference Information
CODES+ISSS 2022: International Conference on Hardware/Software Codesign and System Synthesis
Submission Date:
Notification Date:
Conference Date:
Shanghai, China
CCF: b   QUALIS: a2   Viewed: 28567   Tracked: 43   Attend: 4

Call For Papers
CODES+ISSS 2022 solicits the submission of original research articles in two categories, i) full-length research papers that will be published in the IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), and ii) short Work-in-Progress papers that will be published in the CODES+ISSS Proceedings. For both categories, CODES+ISSS solicits submission on the following topics. More information about the submission is at

Topics of Interests

Track 1: System-level design – Specification, modeling, refinement, synthesis, and partitioning of embedded systems, hardware-software co-design, hybrid system modeling and design, model-based design, design for adaptivity and reconfigurability.

Track 2: Domain and application-specific design – Analysis, design, and optimization techniques for multimedia, medical, automotive, cyber-physical, IoT, and other application domains.

Track 3: System architecture – Heterogeneous systems, many-cores, and distributed systems, architecture and micro-architecture design, exploration and optimizations of application-specific processors and accelerators, reconfigurable and self-adaptive architectures, storage, memory systems, and networks-on-chip.

Track 4: Simulation, validation, and verification – Hardware/software co-simulation, verification, and validation methodologies, formal verification, hardware-accelerated simulation, simulation, and verification languages, models, and benchmarks.

Track 5: Embedded software – Language and library support, compilers, runtimes, parallelization, software verification, memory management, virtual machines, operating systems, real-time support, middleware.

Track 6: Safety, security, and reliability – Cross-layer reliability, resiliency and fault tolerance, test methodology, design for security, reliability, and testability, hardware security, security for embedded, CPS, and IoT devices.

Track 7: Power-aware systems – Power-aware and energy-aware system design and methodologies, ranging from low-power embedded and cyber-physical systems, IoT devices, to energy-efficient large-scale systems such as cloud datacenters, green computing, and smart grids.

Track 8: Embedded machine learning – Hardware and software design, implementation, and optimization for machine learning that are specially designed for resource- and power-constrained embedded, CPS, and IoT devices.

Track 9: Industrial practices and case studies – Practical impact on current and/or future industries, application of state-of-the-art methodologies and tools in areas including wireless, networking, multimedia, automotive, cyber-physical, medical systems, IoT, etc.
Last updated by Dou Sun in 2022-03-06
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