lumbda/docs
russell@unturf.com 27f468c5b7 portal-rng: Python + C impls of xoshiro256** + portal state capture
Zoe's contribution question: does our portal preserve RNG state so a
simulation can continue in another process with the same random stream?
Answer today: no — no RNG existed. Answer now (Python + C): yes, bit-identical.

- New builtins: random-seed!, random, random-int, random-state, random-state!
- xoshiro256** (Blackman & Vigna 2018) — deterministic, portable, no libc rand
- State = 4 x u64; portal-v1 JSON gains 'rng' field with 8 x u32 halves
- Python and C produce bit-identical streams (verified: seed=42, 10 draws)
- Asm impl + cross-impl tests + whitepaper note: next commits

Ticket: docs/tickets/0001-portal-rng.md
2026-04-20 10:57:39 -04:00
..
tickets portal-rng: Python + C impls of xoshiro256** + portal state capture 2026-04-20 10:57:39 -04:00
asm-architecture.dot whitepaper: diagrams + stats refresh for GC / meta-GC / hash primitives 2026-04-18 10:46:29 -04:00
asm-architecture.png whitepaper: diagrams + stats refresh for GC / meta-GC / hash primitives 2026-04-18 10:46:29 -04:00
benchmark-ack.dot whitepaper: actually use diagrams — 5 PNGs embedded, .dot sources refreshed 2026-04-17 19:09:16 -04:00
benchmark-ack.png whitepaper: actually use diagrams — 5 PNGs embedded, .dot sources refreshed 2026-04-17 19:09:16 -04:00
benchmark-binary-size.dot whitepaper: diagrams + stats refresh for GC / meta-GC / hash primitives 2026-04-18 10:46:29 -04:00
benchmark-binary-size.png whitepaper: diagrams + stats refresh for GC / meta-GC / hash primitives 2026-04-18 10:46:29 -04:00
benchmark-fib.dot Add benchmark dot diagrams showing performance differences 2026-04-16 13:01:32 -04:00
benchmark-fib.png Add benchmark dot diagrams showing performance differences 2026-04-16 13:01:32 -04:00
benchmark-gc.dot asm-gc: movb-not-orq type patch (kills residual "unbound variable") 2026-04-18 20:28:31 -04:00
benchmark-gc.png asm-gc: movb-not-orq type patch (kills residual "unbound variable") 2026-04-18 20:28:31 -04:00
benchmark-speedup.dot Add benchmark dot diagrams showing performance differences 2026-04-16 13:01:32 -04:00
benchmark-speedup.png Add benchmark dot diagrams showing performance differences 2026-04-16 13:01:32 -04:00
benchmark-sumto.dot whitepaper: actually use diagrams — 5 PNGs embedded, .dot sources refreshed 2026-04-17 19:09:16 -04:00
benchmark-sumto.png whitepaper: actually use diagrams — 5 PNGs embedded, .dot sources refreshed 2026-04-17 19:09:16 -04:00
c-architecture.dot rename: uncommonlisp -> lumbda throughout the repo 2026-04-19 10:20:11 -04:00
c-architecture.png Add architecture docs with dot diagrams, update Makefile and CLAUDE.md 2026-04-15 14:07:59 -04:00
gpu-architecture.md Add GPU architecture notes and JIT header 2026-04-14 19:43:16 -04:00
jit-pipeline.dot Add architecture docs with dot diagrams, update Makefile and CLAUDE.md 2026-04-15 14:07:59 -04:00
jit-pipeline.png Add architecture docs with dot diagrams, update Makefile and CLAUDE.md 2026-04-15 14:07:59 -04:00
meta-gc-policy.dot whitepaper §6.6.3: collaborative adaptive meta-GC results 2026-04-18 11:35:27 -04:00
meta-gc-policy.png whitepaper §6.6.3: collaborative adaptive meta-GC results 2026-04-18 11:35:27 -04:00
python-architecture.dot Add architecture docs with dot diagrams, update Makefile and CLAUDE.md 2026-04-15 14:07:59 -04:00
python-architecture.png Add architecture docs with dot diagrams, update Makefile and CLAUDE.md 2026-04-15 14:07:59 -04:00
README.md rename: uncommonlisp -> lumbda throughout the repo 2026-04-19 10:20:11 -04:00

lumbda Architecture Documentation

"A diagram is worth 10,000 words." — russell@unturf.com

Three implementations of the same Scheme language, sharing the same .lsp test files.

Python Implementation (lumbda.py)

3,324 lines. Bytecode compiler + stack VM + full continuations + portal.

Python Architecture

Execution tiers:

  • Tree-walker (leval): default, handles all forms including macros
  • Bytecode VM (--fast): 40 opcodes + superinstructions, 7-19x faster
  • Python JIT prototype: exec()-based transpilation (labeled as prototype)

Key features:

  • Full multi-shot continuations via explicit frame stack
  • Portal: serialize VM state to JSON, resume on another machine
  • Inline cache, constant folding, peephole optimizer
  • Source maps for error reporting with line numbers
  • Bytecode serialization (.lspc files)

Tests: 571 unit + integration tests (tests.py)


C Implementation (c/)

8,120 lines. Tree-walker + bytecode VM + x86_64 JIT.

C Architecture

Execution tiers:

  • Tree-walker: default, full special form support
  • Bytecode VM (--fast): matching Python's opcodes
  • x86_64 JIT (--jit): 10-24x faster than CPython

Key features:

  • NaN-boxed 64-bit values (zero-alloc numbers)
  • Hash-map environments with parent chain + global shortcut
  • Interned symbols
  • Real JIT: mmap(PROT_EXEC) + raw x86_64 bytes

Tests: 76 unit + integration + JIT tests (test.c)


Assembly Implementation (asm/)

2,592 lines of GNU assembler. 13KB binary. Zero dependencies.

Assembly Architecture

Design:

  • No C. No libc. Only Linux syscalls (read, write, mmap, exit)
  • Tag-in-low-3-bits value representation
  • Bump allocator on 64MB mmap'd page
  • TCO via jmp .eval_top (never grows the stack)
  • 34 builtins, all special forms

Tests: 75 unit + integration + functional tests (test.sh)


JIT Pipeline (c/jit.c)

1,309 lines. Compiles Scheme AST directly to x86_64 machine code.

JIT Pipeline

What gets JIT'd:

  • if, cond, and, or (conditional jumps)
  • +, -, *, =, <, >, <=, >= (native integer ops)
  • let, let* (stack-allocated locals)
  • Named-let loops (native jmp, zero call overhead)
  • car, cdr, cons, null?, pair? (NaN-box pointer ops)
  • Self-recursive calls (call/ret) and tail calls (jmp)

What falls back to interpreter:

  • call/cc, macros, syntax-rules, quasiquote, modules
  • String/vector/hash-table operations
  • Any form the AST analyzer can't verify as integer-safe

Performance Summary

All benchmarks measured in-process (no startup overhead) on the same machine.

Implementation ack(3,4) fib(35) sum-to(50k) Binary
C + x86_64 JIT 0.19ms 0.09ms 0.55ms 171KB
CPython (native) 1.3ms 0.006ms 5.5ms ~5MB
C interpreter 20ms 0.06ms 109ms 171KB
Python bytecode VM 149ms 0.75ms 437ms 3,324 lines
Assembly (13KB) ~8ms* ~0.6ms* ~43ms* 13KB

*Assembly times include process startup + tokenizer + parser.

The JIT runs Scheme faster than CPython runs Python on recursive workloads: ack(3,4) is 7x faster, sum-to(50k) is 10x faster. The JIT compiles Scheme AST directly to x86_64 machine code via mmap(PROT_EXEC).


Test Coverage

943 verified assertions across all implementations:

make test-all
  Python unit/integration:   571 tests
  C unit/integration/JIT:     83 tests
  Assembly unit/int/func:    108 tests
  Shared functional:         181 tests (Python + C)
  Total:                     943 assertions

The language is R7RS Scheme. lumbda is the project name — a play on Common Lisp, since this is decidedly uncommon.