docs(v4.0.0): add StarForth v4 justification and primitive decomposition
JUSTIFICATION.md records why v4 exists and the reasoning behind each major design decision. DECOMPOSITION.md assigns every v3 C primitive a fate on the 32-instruction F18-derived core. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01BY9HMwK5Cetz3caBgHGyds
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# StarForth v4.0.0 — Justification
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This document records why StarForth v4.0.0 exists, what it changes, and why each major decision was
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made. The specification is `DECOMPOSITION.md`. Per project practice, this document is written before
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any v4 code.
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---
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## 1. The problem with v3
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StarForth v3 is a successful software machine. It boots on amd64, aarch64, and riscv64, runs the
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Tripod fleet on LithosAnanke, and has held K≡1.0 across 38,400+ experimental runs. But it was designed
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for a large host, and it shows:
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- **More than 300 C primitives.** Most are not primitive in any hardware sense. Double-cell arithmetic,
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string handling, comparisons, pictured output, and Q48.16 transcendentals are all expressible in a
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handful of machine operations.
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- **64-bit cells and 5 MB of linear memory per VM.** Reasonable on a PC; far too large for a node in a
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fabric.
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- **Diagnostics of its own implementation.** A significant block of words (hot-words cache statistics,
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lookup strategies, pipelining metrics, Bayesian cache models) measures v3's software dictionary, not
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the computation the dictionary performs.
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- **Hermes in software.** Message routing, per-message ACL checks, and TTL expiry are C code executed by
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a CPU that is also doing everything else.
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None of this is wrong for a hosted or bare-metal OS. It is wrong for silicon. The project's direction
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is now an FPGA embodiment, and eventually an ASIC, and v3 cannot be carried there by porting.
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## 2. What v4 is
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StarForth v4 is a Forth machine designed to be the same thing in software and in hardware:
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1. **A 32-instruction core ISA** derived from Chuck Moore's F18, the node of the GA144. Every core word
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is a mnemonic; every mnemonic is one 5-bit opcode.
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2. **Everything else is capsule code**, compiled from those 32 instructions, or a message to a node that
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owns a service, or a memory-mapped register, or retired.
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3. **A mesh of small nodes** that talk to their four neighbours through blocking ports. Hermes becomes
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the network itself: routing, ACL checks, and TTL expiry move into logic in every node's router.
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4. **Compudynamics as a side effect of execution.** Heat counters, the anti-clock, and the heartbeat are
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driven by instruction retirement in hardware. They cost no instructions.
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5. **A power-aware governor** built from a multi-level Rolling Window of Truth, controlling timing only.
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v4 is a new implementation, not a refactor. v3 remains the reference system for LithosAnanke until v4
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reaches parity.
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## 3. Why Moore's F18 instruction set
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**It is proven minimal.** Moore spent decades removing instructions from his stack machines. The F18's
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32 opcodes are the result: enough to build a complete Forth, nothing that can be composed from the
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rest. There is no multiply, no divide, no compare, and no `SWAP`; each is a short sequence (for example
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`SWAP` is `over push push drop pop pop`).
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**It fits a 32-bit word exactly.** 32 opcodes need 5 bits. Six slots fill 30 bits of a 32-bit
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instruction word, with 2 spare. One fetch feeds six instructions.
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**It matches the project's formal-verification plan.** Proving 32 instruction semantics in Isabelle/HOL
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is a bounded task. Proving 300 C primitives is not. Every higher word then inherits correctness from its
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definition, which is itself a checkable object.
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**It matches the dictionary-shrink plan that was already underway.** The existing POST suite, which
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exercises every dictionary word, was to be used as a regression gate while C primitives were replaced by
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colon definitions. v4 carries that plan to its end point: the surviving primitives are the ISA.
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**It comes with a mesh precedent.** The GA144 places 144 F18 nodes on one die, each talking to its
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neighbours through blocking ports. v4 adopts that topology directly.
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## 4. Why a mesh, and why Hermes goes into the fabric
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v3's Tripod is several VMs sharing one CPU, with Hermes arbitrating messages between them in software.
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The mesh replaces time-sharing with space: each VM role runs on its own node or group of nodes,
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concurrently.
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Moving Hermes into the fabric has three consequences:
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- **The message semantics become hardware.** Per-message ACL checks and unconditional TTL expiry, which
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v3 already treats as rules rather than options, become router logic that cannot be bypassed.
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- **Contention disappears as a scheduling problem.** A blocking port is flow control. There is no
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scheduler to write, which honours the existing design goal of avoiding one.
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- **The SOS mechanism generalises.** Any node can emit an `SOS` packet. A node whose router fails can
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only stop forwarding, which its neighbours detect as blocked ports; this is the hardware form of v3's
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"Hermes raises a semaphore while sinking" rule.
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## 5. Why cell width becomes a parameter
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The Zynq-7000's processing system is a Cortex-A9, a 32-bit ARMv7-A core. Rather than maintain a separate
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32-bit fork, v4 makes cell width a build parameter of one VM (32 or 64). This has three benefits:
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1. **The ARM becomes a real StarForth host**, not just a bootloader, at 32 bits.
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2. **Mesh nodes use 32-bit cells**, roughly halving stack and ALU cost in the fabric.
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3. **It opens a second invariance axis.** K≡1.0 has been shown invariant across amd64, aarch64, and
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riscv64. If it also holds across cell widths, the conservation law is shown not to depend on word
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size either. That is a stronger claim than ISA invariance alone.
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The physics does not shrink with the cell. Heat and K arithmetic remain 64-bit (`int64_t` in C99 on
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every host; double cells on a 32-bit node). Changing only the payload width keeps the experiment clean:
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any difference in K can be attributed to cell width and not to lost precision.
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## 6. Why the physics splits into "what" and "when"
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The fabric can measure real power: the Zynq's XADC reads on-die temperature and supply voltages, and a
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current sensor on the core rail gives true power draw. This makes "heat" a physical quantity rather than
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a metaphor.
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Physical measurements are noisy and never reproducible run to run. If they controlled which code
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executes, parity hashes would break and formal proofs of behaviour would become impossible. v4
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therefore splits the physics:
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| Layer | Driven by | Controls | Property |
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| --- | --- | --- | --- |
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| **Virtual heat** | Instruction retirement and call counts | What executes (selection, promotion, eviction) | Deterministic and provable |
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| **Physical power** | XADC and rail current | When things happen (clock gating, node sleep, message pacing) | Adaptive, never affects results |
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This settles a question left open in the original FPGA concept: whether compudynamic feedback into the
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control unit should affect only timing or also the execution path. The answer is both, through separate
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channels: logic chooses *what*, physics chooses *when*.
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## 7. Why the governor is a multi-level Rolling Window of Truth
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The timing governor uses the project's own Rolling Window of Truth mechanism at three timescales:
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| Window | Timescale | Governs |
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| --- | --- | --- |
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| Short | microseconds | Clock gating on one node |
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| Medium | milliseconds | Node sleep and wake |
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| Long | seconds | Thermal trend and mesh-wide message pacing |
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Positive feedback (rising message load) wakes neighbouring nodes and raises the clock. Negative feedback
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(rising temperature or power) throttles pacing and puts cool nodes to sleep. Each level reacts much more
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slowly than the one below it, so the loops do not fight; hysteresis at each level prevents flapping at
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thresholds. Hard limits (thermal ceiling, minimum clock) sit outside the adaptive layer as fixed logic.
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A small neural network is a later candidate. Because the governor only controls timing, a poor governor
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costs power or speed and never correctness, so it is a safe place to experiment. The DoE recorder
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(below) produces exactly the training data such a network would need, so the two approaches can be
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compared on identical workloads.
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## 8. Division of labour on the Zynq
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| Component | Runs on | Role |
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| --- | --- | --- |
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| Mesh nodes | Fabric | All StarForth execution, the anti-clock, heat counters, routers |
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| Governor | Fabric | Multi-level RWT, single clock domain, cycle-exact |
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| Host node | ARM (32-bit) | Boot and bitstream load, compiler capsule, console bridge, DoE recorder |
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The anti-clock stays in the fabric because it is defined as a pure function of the execution stream and
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must live where execution happens. The heartbeat's adaptive loop stays in the fabric because a loop
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crossing the PS–PL boundary would inherit ARM-side jitter (caches, interrupts, bus latency).
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The ARM's recorder role keeps measurement separate from the thing being measured: the fabric pushes
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DoE rows into a FIFO, the ARM drains them to storage, and if the ARM falls behind rows are dropped
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rather than execution stalled. This is the fabric form of the planned `HB-ON`/`HB-OFF` disk recording.
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## 9. Why the compiler lives on the host node
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GA144 nodes have 64 words of RAM and 64 of ROM, and arrayForth compiles on a host. v4 follows the same
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split. The outer interpreter, dictionary, vocabularies, and defining words form the compiler capsule,
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which runs on the host node. Mesh nodes receive compiled code. Large capsules stay in DDR and are
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streamed to nodes as needed, so capsule size is not limited by node memory.
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This is also why so many v3 words become CC rather than CAP in `DECOMPOSITION.md`: they are compiler
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machinery, not computation.
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## 10. Development path
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Each stage is checked against the one before it. Nothing proceeds on trust.
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1. **Hosted golden model.** A C99 implementation of the v4 ISA and node model, with cell width, node
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count, and node memory as parameters. The POST suite, rewritten against v4 capsules, must pass at
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both 32 and 64 bits, and K≡1.0 must hold.
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2. **Hosted mesh.** Several golden-model nodes wired through simulated ports, running the Tripod roles
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as nodes. The 144-node configuration is exercised here, since the host is not limited by fabric size.
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3. **Co-simulation.** The node RTL is compiled with Verilator and run in lockstep with the golden model.
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After every instruction, stacks, registers, and heat counters are compared. The first mismatch
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identifies the faulty mnemonic exactly.
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4. **FPGA.** A 2×2 mesh on the PZ7020, then the largest grid that fits. The bitstream only has to match
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the co-simulation.
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5. **ASIC.** A single v4 node, not the mesh, as a proof of silicon through an open-source shuttle
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(currently Tiny Tapeout on IHP's SG13G2 130 nm open PDK). The same RTL is reused; block RAM is
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replaced by the process's SRAM macros.
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## 11. Scaling beyond the PZ7020
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Node count, node memory, and cell width are parameters, and the mesh is generated by a loop over rows
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and columns, so a larger board changes numbers, not design.
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| Part | Approximate resources | Estimated nodes |
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| --- | --- | --- |
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| Zynq-7020 | ~53K LUTs, 140 BRAM36 | ~8–16 |
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| Zynq-7045 | ~218K LUTs, 545 BRAM36 | ~50–70 |
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| Zynq UltraScale+ (e.g. Kria K26) | ~117K LUTs, 144 BRAM36, 64 UltraRAM | ~30–40, with much larger node memory |
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| Larger UltraScale+ / Versal | Several hundred K LUTs and up | A full 144 |
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Node counts are estimates. The first hardware measurement to take is the LUT cost of one node plus its
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router on the 7020; every other board's capacity follows from that number.
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UltraScale+ parts also change the host: their Cortex-A53 cores are aarch64, so the host node can run
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64-bit StarForth while the mesh runs 32-bit cells, which the cell-width parameter already supports.
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Larger meshes will need registered router-to-router links to close timing, and the free edition of
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Vivado supports only smaller devices, so tool licensing must be checked before choosing a board.
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## 12. Risks
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| Risk | Mitigation |
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| --- | --- |
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| Capsule-level arithmetic is much slower than v3's C primitives on a hosted build. | Accepted. v4's measure of performance is the fabric, where each instruction is one cycle. The hosted build is a correctness oracle. |
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| Word addressing makes byte and string operations expensive. | D-1 in `DECOMPOSITION.md` keeps the choice open; colorForth's packed, pre-parsed source is a proven alternative for text. |
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| K≡1.0 may behave differently at 32-bit cell width. | That is an experimental result either way, and the hosted golden model finds it before any hardware exists. |
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| Hand-traced definitions contain errors. | Every CAP definition is a POST target against the v3 C primitive it replaces. |
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| The mesh does not fit the 7020 at a useful size. | Measure one node first; the design scales to larger parts unchanged. |
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## 13. Relationship to intellectual property
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v4 strengthens rather than replaces the existing claims. The Jacquard Selector, the Rolling Window of
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Truth, and the Steady State Machine all survive, now as hardware structures. The new elements a filing
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could draw on are: compudynamic heat as a zero-cost side effect of instruction retirement; the split of
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deterministic virtual heat (selection) from physical power (timing); per-packet ACL and TTL enforcement
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in a mesh router; and conservation invariance across cell width. Whether any of these belong in the
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LithosAnanke filing is a question for counsel.
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## 14. Definition of done for v4.0.0
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- The 32-instruction ISA is specified, with every open decision in `DECOMPOSITION.md` §3 settled.
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- The hosted golden model passes the rewritten POST suite at 32-bit and 64-bit cell widths.
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- K≡1.0 holds on the golden model at both widths, on all three host ISAs.
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- A hosted mesh runs the Tripod roles as nodes, with Hermes as the network.
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- Verilator co-simulation of one node matches the golden model instruction for instruction.
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