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russell@unturf.com ef77a8023f whitepaper §6.6: naive GC + meta-GC; GNU assembler called out
Adds §6.6 "Memory Management and the Meta-GC", covering:

  - Bump-only default: why asm leaks, when that's fine, when
    it isn't (two-crash anecdote links to the CLAUDE.md safety
    envelope).
  - Naive mark-sweep control group: GC_NAIVE assemble flag,
    per-block header, stop-the-world mark + first-fit free list.
    Control-group numbers: bump 134 MB / 1097 ms vs naive 1.1 MB /
    1431 ms → 124x less memory at ~30% throughput cost.
  - Meta-GC layer (§6.6.1): (with-arena thunk) fast path with
    three-way policy — implicit-GC-fired / no-mark-in-range /
    mark-in-range → skip / bulk-reset / sweep-fallback.
    Bench: 2000 arena calls on truly-transient workload: 2000
    resets / 0 escapes / 205 MB reclaimed, full GCs drop from
    200 (Phase A) to 1 (Phase B). Escape case tested: 20/20 caught,
    data remains live.
  - §6.6.2 What the control group tells us: three co-resident
    strategies, two stats surfaces (gc-stats, arena-stats), a
    concrete floor (124x memory, 30% time, 100% arena hit on
    scoped code) that any future proposal must beat.

Also calls out GNU assembler (GAS, AT&T syntax) + as + ld + GNU
binutils explicitly in the tier list (§intro) and the §11 asm tier
summary, and updates the stale 4,968 LOC to the current 6,645
across three locations (intro list, §6.6 narrative, §11 table,
§11 narrative). Reproducibility list in §6 now references
make bench-gc and make bench-gc-arena.

PDF rebuilt; all test suites (Python + C + asm no-GC + asm GC +
shared functional) still green against this revision.
2026-04-18 10:06:24 -04:00
asm asm-gc: meta-GC layer — arena fast path with mark-phase verifier 2026-04-18 10:01:28 -04:00
c C --fast named-let bug: minimal repro + workaround, all 4 tiers pass now 2026-04-17 20:56:00 -04:00
docs whitepaper: actually use diagrams — 5 PNGs embedded, .dot sources refreshed 2026-04-17 19:09:16 -04:00
examples asm-gc: meta-GC layer — arena fast path with mark-phase verifier 2026-04-18 10:01:28 -04:00
proof C --fast named-let bug: minimal repro + workaround, all 4 tiers pass now 2026-04-17 20:56:00 -04:00
tests asm-gc: meta-GC layer — arena fast path with mark-phase verifier 2026-04-18 10:01:28 -04:00
whitepaper whitepaper §6.6: naive GC + meta-GC; GNU assembler called out 2026-04-18 10:06:24 -04:00
.gitignore Add whitepaper: Feedback Is All You Need 2026-04-14 13:32:42 -04:00
bench.py Add auto-compile, VM optimization, disassemble, call/cc compilation 2026-04-13 14:49:32 -04:00
CLAUDE.md rename: the language is now Lumbda (lumbda.com). Phase 1: prose 2026-04-17 19:22:40 -04:00
friction.sh Add friction.sh benchmark: C is 3-6x faster than Python impl 2026-04-14 15:11:43 -04:00
Makefile asm-gc: meta-GC layer — arena fast path with mark-phase verifier 2026-04-18 10:01:28 -04:00
README.md native EML proof checker in Lumbda + Lean-vs-Lumbda benchmark 2026-04-17 19:40:20 -04:00
stdlib.lsp Add parameterize fix, let-values, case=>, arithmetic, FS/system builtins, tracing, SRFI-64 2026-04-13 13:32:11 -04:00
tests.py Add portal: serialize and resume VM state across machines 2026-04-13 19:00:11 -04:00
uncommonlisp.py Env.lookup: walk full parent chain; cache validates intermediates 2026-04-17 14:39:26 -04:00

Lumbda

A Lisp/Scheme-derived, just-in-time lambda language. Four implementation tiers with MOAD defect isolation. Workloads migrate across basic UNIX systems.

Four implementation tiers sharing one wire format — Scheme source itself:

  • Python bytecode VM — reference, full first-class continuations
  • C tree-walker + bytecode VM — portable C, JSON portal
  • C + x86_64 JIT — pattern-matched native code, 710× faster than CPython
  • Pure x86_64 assembly — 22 KB stripped, zero libc, 14 syscalls

Feedback is the primitive across four scopes: continuations within a process, portal files across processes, S-expressions across implementations, TCP sockets across machines.

Home: lumbda.com

λ> (define (fib n)
     (let loop ((a 0) (b 1) (i 0))
       (if (= i n) a (loop b (+ a b) (+ i 1)))))
λ> (map fib (iota 10))
(0 1 1 2 3 5 8 13 21 34)

Usage

python3 uncommonlisp.py                # interactive REPL
python3 uncommonlisp.py script.lsp     # run a file
python3 uncommonlisp.py -e '(+ 1 2)'  # eval an expression
python3 uncommonlisp.py --fast script.lsp  # auto-compile (7-19x faster)

Bytecode compiler

Lumbda includes a stack-based bytecode compiler and VM. Enable it with --fast or (auto-compile! #t):

python3 uncommonlisp.py --fast examples/fibonacci.lsp
(auto-compile! #t)
(define (ack m n)
  (cond ((= m 0) (+ n 1))
        ((= n 0) (ack (- m 1) 1))
        (else    (ack (- m 1) (ack m (- n 1))))))
(compiled? ack)  ; => #t
(ack 3 4)        ; => 125

The compiler handles: if, begin, and, or, when, unless, cond, define, set!, lambda, let, named-let, let*, letrec, do, call/cc, function calls with tail-call optimization. Macros are expanded at compile time. 20 specialized opcodes for hot builtins (+, -, *, =, <, car, cdr, cons, null?, etc.) avoid function call overhead.

Features:

  • Explicit frame stack — compiled-to-compiled calls don't grow the Python stack
  • Full continuationscall/cc supports upward continuations; generators work
  • Constant folding(+ 1 2) folds to 3 at compile time
  • Peephole optimizer — eliminates dead code (VOID+POP, JUMP-to-next)
  • (disassemble proc) — inspect generated bytecode

What's implemented

Core language

  • Full lexical scoping and closures
  • Tail-call optimization (TCO) — deep recursion never blows the stack
  • Hygienic macros via syntax-rules with ellipsis (...) support
  • define-macro / defmacro for procedural macros
  • call/cc — full continuations (escape + upward) in compiled code
  • values / call-with-values
  • dynamic-wind, guard, with-exception-handler
  • quasiquote / unquote / unquote-splicing with proper nesting
  • R7RS internal defines with letrec* body semantics
  • R7RS error objects
  • Exact rational arithmetic — (/ 1 3)1/3, (+ 1/4 3/4)1
  • String ports — open-input-string open-output-string read on ports
  • Mutable strings — string-set! string-fill! string-copy!
  • Module system — module / import with export lists
  • define-record-type with (inherit parent) for single-inheritance
  • Pretty-print — pp / pretty-print
  • Tracing — (trace fn) / (untrace fn)

Special forms define set! lambda λ if cond case and or when unless begin let let* letrec letrec* named-let do quasiquote define-macro define-syntax syntax-rules let-syntax letrec-syntax apply eval values call/cc dynamic-wind guard parameterize load error module import define-record-type

Built-ins

  • Arithmetic: + - * / quotient remainder modulo expt sqrt abs floor ceiling round truncate min max gcd lcm log exp trig functions, numerator denominator
  • Rationals: (/ 1 3)1/3, literal 1/3 syntax, exact / inexact conversion
  • Comparison: = < > <= >= zero? positive? negative? odd? even?
  • Pairs & lists: cons car cdr list length append reverse map for-each filter fold-left fold-right reduce any every sort partition find take drop zip flatten and more
  • SRFI-1: last firstfifth delete lset-union lset-intersection lset-difference unfold list-tabulate
  • Strings: string-length string-ref string-set! substring string-append string-copy string-copy! string-fill! string->list string->number format and more
  • Characters: char->integer integer->char char-alphabetic? char-upcase char-downcase
  • Vectors: make-vector vector vector-ref vector-set! vector-copy vector-copy!
  • Hash tables: make-hash-table hash-table-set! hash-table-ref hash-table-keys hash-table-values hash-table-walk and more
  • I/O: display write newline read read-char read-line open-input-string open-output-string with-output-to-string
  • File system: file-exists? delete-file rename-file directory-files current-directory
  • System: command-line get-environment-variable current-time exit
  • Python interop: py-eval py-exec py-import py-call py-attr
  • Compiler: compile compiled? disassemble auto-compile!

Standard library (stdlib.lsp) Additional macros, string/list/numeric/tree utilities, alist/hash helpers, simple object system, SRFI-2/8/64 test framework.

Examples

python3 uncommonlisp.py --fast examples/fibonacci.lsp
python3 uncommonlisp.py --fast examples/generator.lsp
python3 uncommonlisp.py --fast examples/mergesort.lsp
python3 uncommonlisp.py examples/objects.lsp
;; Generator using full continuations
(auto-compile! #t)
(define (make-gen thunk)
  (let ((k #f) (done #f))
    (lambda ()
      (if done 'done
          (call/cc (lambda (return)
            (if k (k return)
                (begin (thunk (lambda (val)
                         (call/cc (lambda (next)
                           (set! k next) (return val)))))
                       (set! done #t) (return 'done)))))))))

(define counter (make-gen (lambda (yield)
  (let loop ((i 0)) (yield i) (loop (+ i 1))))))
(counter) ; => 0
(counter) ; => 1
(counter) ; => 2

Running tests & benchmarks

make test          # run 529 tests
make test-verbose  # verbose output
make bench         # compare interpreter vs bytecode vs CPython
make lint          # syntax check all Python files

Portal — machine state migration

Serialize a running VM mid-computation, transfer to another machine, resume:

# Machine A: start a long computation with checkpoints
python3 uncommonlisp.py --fast examples/portal-prime.lsp
# saves prime-state.portal at checkpoint

# Machine B: resume from checkpoint
python3 uncommonlisp.py --portal-resume prime-state.portal
# continues from exact instruction

The portal captures the full env chain, compiled procedures, continuations, and frame stack as JSON. 16KB for a primality test in progress.

EML universality proof

The proof/ directory contains a formal verification that eml(x,y) = exp(x) - ln(y) with constant 1 generates all elementary functions (arXiv:2603.21852v2).

Three approaches, benchmarked:

Approach Time Guarantee
Python (numerical) 0.04s 1e-10 tolerance
Lumbda (numerical) 59s 1e-10 tolerance
Lean 4 (formal proof) 1.5s kernel-verified

The formal proof is 40x faster than brute-force search with infinitely stronger guarantees. See proof/benchmark_results.md for the full analysis — including why this is MOAD-0001 (the sedimentary defect) at the proof methodology layer.

File layout

uncommonlisp.py   interpreter + bytecode compiler (one file, ~3200 lines)
stdlib.lsp        extended standard library
tests.py          test suite (571 tests)
bench.py          benchmarks vs CPython
examples/         example programs
proof/            EML universality proof (Python, Scheme, Lean 4)
Makefile          make test / make bench / make repl