Skip to content

XLB in the Mosaic benchmark suite #165

Description

@dionhaefner

We just released Mosaic (github.com/pasteurlabs/mosaic), a benchmark for differentiable physics solvers. Each solver runs in a container behind a uniform apply / vjp interface, so one harness compares gradient accuracy and cost across JAX, PyTorch, Julia, and C++-adjoint codes on shared tasks.

XLB is one of the benchmarked solvers on the ns-grid and ns-3d-grid domains (results if you're interested).

We did our best to do it justice, but we don't know your code as well as you do and have surely made suboptimal calls. For example, we run BGK by default on the JAX backend (falling back to KBC for obstacles or low viscosity) and recover velocity from the lattice-Boltzmann populations the naive way. If a different collision operator such as MRT, a different relaxation time, or another macroscopic-conversion convention is the right choice for differentiable runs, we'd love to know.

The setup is self-contained under mosaic/tesseracts/navier-stokes-grid/xlb/. If something looks odd, corrections or a PR are very welcome, here on GitHub or on the Tesseract Forum.

Mostly we wanted you to know your work is represented, and to get it right.

Cheers,
Dion on behalf of the Mosaic authors

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions