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IEEEShare your work with international experts and peers, and gain valuable feedback

Opportunities

  • Present your emerging ideas and applications
  • Showcase your demos of innovative systems, tools, prototypes, and interactive experiences
  • Utilize your platform to share new advances, ideas, and solutions
  • Highlight your contributions
  • Contribute to event programming and technical content
  • Experience groundbreaking keynote speeches, peer-reviewed technical papers, and posters
  • Take part in emerging presentations and demos

Topics

  • Custom Computing and Reconfigurable Architectures:

    • Heterogeneous and mixed signal digital/analog field customizable accelerators
    • Neuromorphic emulation and accelerators
    • Memory centric computing architectures
    • Overlays, coarse grained reconfigurable architectures
    • Clusters, data centers, and large systems IoT and Embedded SoC, MPSoC architectures
    • Security enhancements for reconfigurable computing
    • Customizable soft processor systems

    Abstractions, Programming Models, and Tools:

    • Use of Large Language Models (LLMs) for FPGA design
    • Domain-specific languages, frameworks, and open-source hw/sw synthesis/compilation tools
    • Software-defined-systems (e.g. radio, networks, frameworks for new domains)
    • CAD tools, abstractions, and languages for mixed analog/digital fabrics

    Run Time Reconfiguration:

    • Run-time management and scheduling of reconfigurable hardware
    • System resilience/fault tolerance for reconfigurable hardware
    • Evolvable, adaptable, approximate, or autonomous reconfigurable computing systems
    • Security assessment and enhancement of run-time reconfiguration

    Applications:

    • Evaluations and analysis on custom computing architectures with GPUs, NPUs, or DSPs
    • Post Quantum Cryptography, Quantum control and emulation

Submit your content

In addition to submitting your paper to IEEE FCCM 2026, you are also encouraged to upload the data related to your paper to IEEE DataPort.  IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility.  Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive.  Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission.  Thank you!

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