Conference Information
CODES+ISSS 2025: International Conference on Hardware/Software Codesign and System Synthesis
https://esweek.org/codes-isss/Submission Date: |
2025-03-23 |
Notification Date: |
2025-07-13 |
Conference Date: |
2025-09-28 |
Location: |
Taipei, Taiwan |
Years: |
23 |
CCF: b QUALIS: a2 Viewed: 40333 Tracked: 53 Attend: 6
Call For Papers
Topics of Interests Track 1) System-level design – Specification, modelling, 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) Application-specific design – Analysis, design, and optimization techniques for multimedia, medical, automotive, transportation, cyber-physical, aerospace, IoT, space computing 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, self-programmable, and self-adaptive architectures, storage, memory systems, networks-on-chip, and networks-of-networks. 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, thermal-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, federated systems, green computing, and smart grids. Track 8) Embedded artificial intelligence – 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 wireless, networking, multimedia, automotive, cyber-physical, IoT, aerospace, space computing, federated systems, etc.
Last updated by Dou Sun in 2025-02-04
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