bunsen::kits::sims

Iterative tensor simulations. These are runnable physics / cellular kernels expressed as tensor operations: each step is a pure function from one state tensor to the next, which makes them straightforward to batch, GPU-accelerate, and feed back into ML pipelines.

API: https://docs.rs/bunsen/latest/bunsen/kits/sims/

Current simulations

conway — Conway’s Game of Life

Cellular-automaton implementations expressed as windowed sums over a boolean state tensor:

• life2d — classic 2D Conway’s Game of Life over an $\text{H}\times \text{W}$ board.
• life3d — a 3D generalization over an $\text{H}\times \text{W}\times \text{Z}$ board, with a configurable spawn/survive ruleset (LifeRules).

Both expose an next_interior_* step kernel that takes the current state and produces the next interior state, plus padding-aware wrappers for the boundary.

lbm::d2q9 — Lattice-Boltzmann Fluid

A 2D, 9-velocity (D2Q9) lattice-Boltzmann fluid solver (Wikipedia). The simulation is split into the orthogonal operations that compose a single LBM step:

• streaming — particle distributions propagate to neighbour cells along their velocity directions,
• collision — on-cell relaxation toward equilibrium,
• reflection — boundary handling,
• thermal and relaxation — configurable physics parameters,
• simulation — the driver that runs a sequence of steps.

Each piece is a tensor kernel; the whole thing runs on any burn backend.