HFI (HyperFabric Interconnect) Evaluation Dataset

The evolution of high-performance computing (HPC) interconnects has produced specialized fabrics such as InfiniBand\\cite{ib_spec}, Intel Omni-Path, and NVIDIA NVLink\\cite{nvlink_spec}, each optimized for distinct workloads. However, the increasing convergence of HPC, AI\/ML, quantum, and neuromorphic computing requires a unified communication substrate capable of supporting diverse requirements including ultra-low latency, high bandwidth, collective operations, and adaptive routing. We present HyperFabric Interconnect (HFI), a novel design that combines the strengths of existing interconnects while addressing their scalability and workload-fragmentation limitations. Our evaluation on simulated clusters demonstrates HFI's ability to reduce job completion time (JCT) by up to 30\\%, improve tail latency consistency by 45\\% under mixed loads and 4\u00d7 better jitter control in latency-sensitive applications., and sustain efficient scaling across heterogeneous workloads. Beyond simulation, we provide an analytical model and deployment roadmap that highlight HFI's role as a converged interconnect for the exascale and post-exascale era.