Twelfth International Workshop on
Heterogeneous High-performance Reconfigurable Computing (H2RC'26)

Date: Monday Morning, November 16, 2026


Held in conjunction with:

SC26: The International Conference for High Performance Computing, Networking, Storage and Analysis


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Workshop Description:

High-performance computing is entering a post-exascale era in which scalable performance is constrained not only by peak floating-point capability, but also by power delivery, energy efficiency, cooling, data movement, memory hierarchy, and sustained utilization of increasingly heterogeneous resources. At the same time, HPC workloads are broadening to include coupled simulation, AI, data analytics, streaming data, and urgent decision workflows, each with distinct requirements for precision, locality, latency, throughput, and programmability.

Spatial and reconfigurable architectures offer a compelling path forward. FPGAs remain an important example, enabling application-specific datapaths and communication patterns that can improve performance and efficiency. The design space is now expanding to include AI Engine arrays, coarse-grained reconfigurable architectures (CGRAs), dataflow and streaming processors, wafer-scale systems, and other domain-specialized spatial fabrics. These architectures promise gains not only in raw performance, but also in performance per watt, data-movement efficiency, and the ability to adapt computation to diverse and evolving workloads.

Realizing this potential requires advances across the hardware/software stack. The central challenge is how programming models, compilers, intermediate representations, placement and scheduling techniques, runtime systems, autotuning, and performance/energy models can map full HPC applications onto emerging spatial fabrics at scale. With this in mind, the 12th Workshop on Heterogeneous High-performance Reconfigurable Computing brings together researchers and practitioners in HPC, computer architecture, compilers, and heterogeneous systems to share experiences, demonstrate new techniques, and identify future opportunities and research needs for high-performance spatial and reconfigurable computing.

Organizers: