HEART 2026 continues to focus on high efficiency as a cross-cutting issue and seeks contributions in, but not limited to, the following areas:

Architectures for Efficient Acceleration

    Novel systems/platforms based on FPGA, CGRA, GPU, TPU, Neuromorphic, Quantum, and other devices
    Heterogeneous processor architectures and systems for high-performance and/or low-power
    Domain-specific architectures

Design Methods and Tools for Efficient Acceleration

    Programming paradigms, languages, and frameworks
    High-level synthesis and compilers
    Runtime methodologies for heterogeneous systems
    Design space exploration
    Performance and power modeling; evaluation and analysis
    Benchmarking of heterogeneous and high-performance systems
    New open-source tools and frameworks for efficient acceleration

Applications and Systems

    Applications benefiting from efficient acceleration (training/inference, DSP, graph, databases, networking, scientific/HPC, real-time/edge, etc.)
    Complete systems demonstrating increased energy efficiency and/or performance
    Comparisons between accelerator technologies, including trade-offs in programmability, efficiency, and scalability