Julia is now credible for several research-facing CFD regimes, but its advantage is integration and composability, not unique performance, and it is not yet a complete industrial CFD platform.
Scaling WaterLily.jl with MPI and an improved geometric multigrid solver
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abstract
We present recent performance-oriented developments in WaterLily, a scale-resolving incompressible flow solver written in pure Julia that runs seamlessly on CPUs and GPUs of any vendor. Supported by the newly added MPI-based parallelism, strong-scalability tests display a near-ideal linear trend, and weak-scaling efficiency is kept above 85% before node memory-concurrency contention dominates parallel performance. Inter-node weak scalability is sustained above 96% with grid size up to 1 billion cells. We further benchmark improvements to the geometric multigrid Poisson solver enabled by an adaptive under-relaxed red-black Gauss-Seidel smoother together with anisotropic coarsening operators.
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cs.CE 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
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Julia for CFD: A Critical Survey of Ecosystem, Performance, and Composability
Julia is now credible for several research-facing CFD regimes, but its advantage is integration and composability, not unique performance, and it is not yet a complete industrial CFD platform.