Documentation

Detailed documentation for Raster's subsystems. For a quick overview, see the main README.

Guides

Document	Description
Compiler Pipeline	Nanopass architecture, pass sequence, compile-aot, diagnostics
Automatic Differentiation	Forward-mode, reverse-mode, rrules, sensitivity analysis
GPU Computing	Parallel primitives, session API, backends, SoA layout
Deep Learning	Layers, loss, optimizers, compiled training, einsum

Interactive Notebooks

The notebooks/raster/ directory contains Kindly/Clay notebooks that walk through features with runnable code:

Notebook	Topics
Getting Started	deftm, typed dispatch, value types
Automatic Differentiation	Forward-mode, reverse-mode, value+grad
ODE Solvers	Lorenz attractor, adaptive solvers, events
Linear Algebra	Vec/Mat types, LU, Cholesky, SVD
Optimization	L-BFGS, Nelder-Mead, Newton's method
Deep Learning	MLP training with compiled AD

Architecture

The design/ directory contains architecture documents for ongoing and planned work:

Document	Topic
Compiler	Compiler architecture overview
Type System	Typed multiple dispatch design
Autodiff	AD design and implementation
SOAC Fusion	Loop fusion design
Loop Vectorization	Auto-vectorization design
Functional Combinators	Pure parallel form design