Cartilage Runs And Spatial Designs

July 1, 2026

Cartilage makes reconfiguration visible as circuits enter, occupy, and transform regions of space.

This collection joins the current WebGL and SystemVerilog core with ripple-adder runs, a 525,568-cycle timeline, spatial arrangements, a MUX signal surface, and the visual language that ties them together.

Begin with the learning path to build the machine layer by layer, or enter through a specific run to study its configuration, timing, and geometry.

Build The Architecture In Order

The main sequence moves from first principles into a working, spatially reconfigurable machine:

  1. Cartilage: the complete one-chapter-at-a-time learning path
  2. Cartilage Core: Browser Fabric, RTL, and a 252-Bit Install
  3. Cartilage Core public source repository
  4. Cartilage 2026: Child-Owned Reconfiguration Ports
  5. Cartilage Visual Language
  6. Runtime Instantiation In Adjacent Space
  7. Cellular Automata Machines, 2019-2021

The sequence connects implementation, visual lineage, body roles, nested instantiation, and the cellular-automata work that supplied Cartilage with its spatial vocabulary.

Follow A Circuit Through Space And Time

These five pages focus on installed computation, visible state, long reconfiguration timelines, spatial composition, and the signal surface that exposes MUX behavior.

One Architecture, Several Views

Cartilage Core provides the compact browser implementation, matching RTL, and exact 252-bit circuit installation. The QuadFlow and QFG pages record earlier large-field machines and their own run paths.

The run pages expose frame counts, source names, output lanes, and expected results. The spatial-design pages reveal mapping vocabulary, cell roles, geometry, and routing intent. Together, they show both what a configuration computes and how Cartilage places that computation in a field.

Use the source-level views to reproduce a mechanism and the visual views to design the next region, route, or body role.

Choose The View That Advances The Work

Run Cartilage Core for the compact mechanism, RTL, and exact circuit image. Continue through the 2026 port architecture, visual-language decoder, runtime instantiation, and cellular-automata roots to understand the system’s evolution. Open a specific run when its circuit, timeline, or placement pattern matches the problem in front of you.

Try Cartilage: Run the open one-slot multiplier.

To edit, load, save, share, and follow the browser, Raspberry Pi, and FPGA streaming work, request the private demo username and password on LinkedIn.