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codegen-perf-iteration

TA-Lib/ta-lib/.claude/skills/codegen-perf-iteration/SKILL.md

Autonomous codegen quality and performance loop. Use when optimizing ta_codegen C output, investigating performance regressions, or iterating toward parity with the C reference library. Triggers on "perf iteration", "performance loop", "benchmark loop", "codegen performance", or "optimize codegen".

Skill1.7k starsChanged 7 days ago

What's in it

  1. Codegen Performance Iteration
  2. The Core Loop
  3. GENERATE
  4. BUILD
  5. TEST (correctness gate)
  6. BENCHMARK
  7. ANALYZE
  8. PLAN
  9. FIX
  10. COMMIT or REVERT
  11. Quality Gates
  12. Cron Support
  13. Autonomy Rules
  14. Current State (historical snapshot, 2026-03-21)
  15. Resolved
  16. Remaining (icache/layout, not code quality)
  17. Scorecard (isolated, 500 iters, 100k points)
  18. Key Files
---
name: codegen-perf-iteration
description: Autonomous codegen quality and performance loop. Use when optimizing ta_codegen C output, investigating performance regressions, or iterating toward parity with the C reference library. Triggers on "perf iteration", "performance loop", "benchmark loop", "codegen performance", or "optimize codegen".
---

# Codegen Performance Iteration

Autonomously evolve ta-lib's codegen output toward performance parity with the C reference library through a generate, build, test, benchmark, analyze, fix loop.

## The Core Loop

```
GENERATE → BUILD → TEST → BENCHMARK → ANALYZE → PLAN → FIX → TEST → BENCHMARK → COMMIT/REVERT → repeat
```

Run each GENERATE and BUILD command under `scripts/quiet.py noisy <session> --defer=60 --`
and each BENCHMARK command under `scripts/quiet.py measure <session> <secs> --queue=900 --`.
Exit 75 means the window stayed taken or the machine stayed loaded: do other work and retry.

### GENERATE
```bash
cd ta_codegen/generator
cargo run --release -- generate --backend=c
cargo run --release -- generate-servers --backend=c
cargo run --release -- generate-bench --backend=c
```
If the codegen panics, fix the parser/backend issue first. Don't iterate on broken generation.

### BUILD
```bash
cargo run --release -- build --backend=c
```
Also rebuild cmake + ta_bench_direct if needed:
```bash
cmake --build cmake-build --target ta_bench_direct
cp cmake-build/bin/ta_bench_direct bin/
```

### TEST (correctness gate)
```bash
cd bin && ./ta_regtest --codegen --language=c
```
**Every function must pass.** If ANY fails, stop and fix before benchmarking.

### BENCHMARK

**Read the spread before the ratio.** Both tools print a `+-` column; at low
`--iters` the same functions have read 0.57x and 1.00x on consecutive runs.
A number without a narrow spread beside it is not a measurement.

**Primary tool: `ta_bench_direct`** — the only thing that times `libta-lib.a`,
the artifact a real consumer links:
```bash
# Isolated — ground truth, no icache noise
cd bin && ./ta_bench_direct --function=NAME --iters=500 --points=100000

# Full suite — overview, verify outliers in isolation
cd bin && ./ta_bench_direct --iters=200 --points=100000
```
Its ratio is `ta_bench_cg` (single TU, `-flto`) over `libta-lib.a` (separate
TUs, no LTO) — a build-configuration difference, not an algorithm one. See
"The same source, six binaries" in the root CLAUDE.md before quoting it.

**Secondary tool: `ta_bench`** — cross-language, and the only way to reach `cref`:
the newest `ta_ref` member's serve, a frozen release (`--cref=X_Y_Z` picks another;
`scripts/build.py ref --build-only` builds it). Its `timing_ns` is measured *inside*
the server around the call, so JSON-RPC transport is NOT in the timed region:
```bash
cd bin && ./ta_bench --language=cref,c --function=NAME --points=100000 --iters=500
```
Note it times `ta_codegen_serve_c`, a different binary from `ta_bench_direct`'s
C column, so the two tools' absolute ns are not comparable with each other.

Parse direct bench output:
```python
import re
text = re.sub(r'\033\[[0-9;]*m', '', raw_output)
for line in text.split('\n'):
    m = re.match(r'(\S+)\s+(\d+)\s+(\d+)\s+(\S+)x', line.strip())
    if m:
        name, ref, cg, ratio = m.group(1), int(m.group(2)), int(m.group(3)), float(m.group(4))
```

### ANALYZE

Categorize results:
- **Broken** (>2.0x slower): Something fundamentally wrong
- **Slow** (1.10x-2.0x): Investigate — dispatch a subagent
- **Parity** (0.90x-1.10x): Acceptable
- **Faster** (<0.90x): Verify correctness — could indicate skipped work

For each slow indicator, **dispatch a subagent** for deep analysis:
1. Compile both assemblies: `cc -O3 -DNDEBUG -Wno-everything -S` codegen and reference
2. Extract function bodies, count basic blocks, inner loops, fdiv instructions
3. Trace the hot loop critical path — cycle-count per iteration
4. Check for speculative computation (both sides of `&&` computed before short-circuit)
5. Check for binary layout effects (identical assembly but different timing)

### PLAN
Pick the **single highest-impact** fix. Priority:
1. Broken indicators (>2.0x) first
2. Groups sharing a root cause (e.g., all CDL patterns)
3. Individual slow indicators

Root cause categories:
- **Speculative computation**: compiler computing both sides of `&&` before short-circuit. Fix: split into nested `if`s (only when both sides contain `TA_CANDLEAVERAGE`).
- **Candle macros**: `TA_CANDLERANGE`/`TA_CANDLEAVERAGE` macros with static globals enable constant propagation. This is a NET WIN (53 CDL faster, 3 slower). Don't fight it.
- **Circular buffer**: modulo `%` vs conditional reset `if(idx>=max) idx=0`
- **Validation**: missing NULL checks or param range checks that change compiler register allocation
- **Binary layout / icache**: identical assembly but different timing in full-run. NOT fixable in source. Verify by testing in isolation.

### FIX
Make ONE change. Fix locations in priority order:
1. `ta_codegen/input/<name>/<name>.c` — indicator source (plain C)
2. `ta_codegen/generator/src/backends/c.rs` — C backend rendering
3. `ta_codegen/generator/src/backends/builtins.rs` + `ta_codegen/generator/templates/` — shared macros, types, globals
4. `ta_codegen/generator/src/parser/` — parser changes

After fixing, go back to GENERATE and repeat the full loop.

### COMMIT or REVERT
- Tests pass AND target indicator improved → commit with descriptive message
- Tests fail OR indicator worse → `git checkout` changed files, try different approach
- 5 consecutive cycles with no improvement → stop and report

## Quality Gates

| Gate | Criterion | How to Check |
|------|-----------|-------------|
| Correctness | every function passes | `ta_regtest --codegen --language=c` |
| Core parity | RSI, SMA, EMA, MACD, STOCH within 1.05x | `ta_bench_direct --function=RSI,SMA,EMA,MACD,STOCH --iters=500` |
| CDL performance | 53+ CDL patterns faster, <=3 slower | `ta_bench_direct --function=CDL --iters=300` |
| No regressions | No indicator >1.15x in isolation | Compare against saved baseline |

## Cron Support

Use `/loop` to run the perf iteration autonomously:
```
/loop 15m /codegen-perf-iteration
```
This runs the full loop every 15 minutes. Each iteration:
1. Regenerates, builds, tests
2. Benchmarks the previously-slow indicators
3. If regressions detected, investigates and fixes
4. Logs results to `.plans/perf-iteration-log.md`

For one-off runs: just invoke `/codegen-perf-iteration` directly.

## Autonomy Rules

1. **Never wait for human input.** Log questions to `.plans/perf-iteration-questions.md`, pick faster-to-test approach, keep going.
2. **One change per cycle.** Don't fix three things at once.
3. **Use subagents for analysis.** Dispatch one subagent per slow indicator — they read assembly, count cycles, find root causes.
4. **Trust isolation over full-run.** A full-corpus run has ~10-20% noise from icache. Isolated `ta_bench_direct` runs are the best available signal — but check the `+-` column, they are not automatically ground truth.
5. **Revert failures quickly.** Don't spend 3 cycles saving a bad idea.
6. **Consult external AI when stuck.** 2+ failed cycles on the same indicator → get a second opinion.
7. **Log everything.** Each iteration → `.plans/perf-iteration-log.md`: what changed, why, before/after, outcome.

## Current State (historical snapshot, 2026-03-21)

### Resolved
- Candle macros (`TA_CANDLERANGE`/`TA_CANDLEAVERAGE`) match reference pattern
- Short-circuit `&&` split for CDL patterns with dual `TA_CANDLEAVERAGE` (CDLHARAMI 1.39x → 0.82x)
- MINMAX was never slow (0.68x) — server overhead inflated it to 1.25x
- `ta_bench_direct` times libta-lib.a in-process; report its spread with its ratio

### Remaining (icache/layout, not code quality)
- CDL3BLACKCROWS: 1.16x isolated — compiler short-circuits correctly, minor fdiv interleaving diff
- CDLBREAKAWAY: 1.24x isolated — only 1 fdiv, codegen produces fewer instructions, layout effect
- SAR: 1.13x isolated — assembly identical to reference, binary layout from single-TU

### Scorecard (isolated, 500 iters, 100k points)
- 72 faster (<0.90x)
- 83 parity (0.90-1.10x)
- 3 slower (1.10-1.25x) — all layout effects, not code quality

## Key Files

| File | Role |
|------|------|
| `ta_codegen/generator/src/backends/c.rs` | C code generation — validation, candle macros, `&&` split |
| `ta_codegen/generator/src/bench_gen.rs` | Generates ta_bench_cg direct-call benchmark binary |
| `ta_codegen/generator/src/server_gen.rs` | Server generation — dispatch, load_data, timing |
| `ta_codegen/generator/src/main.rs` | Build step, generate-bench command |
| `ta_codegen/input/<name>/<name>.c` | Indicator source — the logic itself (plain C) |
| `ta_codegen/generator/src/backends/builtins.rs`, `ta_codegen/generator/templates/` | Shared macros, static globals, candle helpers |
| `src/tools/ta_bench/ta_bench_direct.c` | Direct-call benchmark orchestrator (cmake) |
| `src/tools/ta_bench/ta_bench.c` | Server-based benchmark with thermal canary |
| `scripts/regtest.py` | Full pipeline: generate + build + test + bench + direct-bench |

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