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Explore Chmy.jl, a Julia package designed for developing scalable finite-difference solvers that prioritize portability, ease of use, and minimal computational overhead in this 11-minute conference talk. Learn about the package's comprehensive modules for working with structured staggered grids, discrete fields, finite-difference and interpolation operators, boundary conditions, and distributed computing capabilities. Discover how Chmy.jl enables users to write functions that execute seamlessly on both CPUs and GPUs supported by the JuliaGPU ecosystem, making it an architecture-agnostic solution for computational problems. Gain insights into the design principles and practical applications of this tool for scientific computing and numerical analysis, presented by Ivan Utkin at JuliaCon Local Paris 2025.
