Wind64 -

[4] HDF Group. (2024). HDF5 64-bit features and performance. HDF5 Documentation.

The transition to 64-bit computing in other domains (e.g., genomics, climate modeling) has enabled simulations with higher fidelity. However, a dedicated 64-bit wind modeling framework has been lacking. This paper proposes , a purpose-built software stack that exploits 64-bit address space and instruction sets (e.g., AVX-512) to overcome prior constraints. wind64

Wind64, wind energy, high-performance computing, large-eddy simulation, 64-bit computing, wind farm optimization. 1. Introduction Wind energy accounts for over 8% of global electricity generation (IEA, 2025). Accurate modeling of wind flow across complex terrains and large turbine arrays remains challenging due to the multiscale nature of atmospheric turbulence. Traditional models often run on 32-bit architectures or legacy codebases, limiting domain size and real-time applicability. [4] HDF Group

[5] Stevens, R. J. A. M., & Meneveau, C. (2019). Large-eddy simulation of wind farms: Current status and challenges. Journal of Renewable and Sustainable Energy , 11(2), 023301. HDF5 Documentation

[2] Skamarock, W. C., et al. (2021). A description of the Advanced Research WRF model version 4. NCAR Tech. Note .

[6] Wind64 Developers. (2026). Wind64: User guide and API reference. Zenodo , 10.5281/zenodo.1234567. – Compiler flags and dependencies. Appendix B – Grid convergence study (Δx = 20 m → 5 m). Appendix C – Energy consumption benchmark vs. WRF. This paper follows the standard structure of a computational science journal article and assumes the reader has basic knowledge of fluid dynamics and HPC.