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