c99a238826
Bundle of roofline-tab enhancements requested in-thread:
1. **S_kv slider at top of tab** — override the sidebar's S_kv locally
so all four plots update as you drag it. Handy for exploring how
the KV wall arrives without disturbing the rest of the app config.
2. **Good B / Good L KPI cards** — 3 metrics under the main KPI row:
- Good B = 2·B* (Pope's rule of thumb)
- Good L ceiling = L* (compute-friendly context ceiling)
- Utilization @ current S_kv = 1 / (1 + S_kv/L*)
3. **Plot 4 — latency-decomposition per decode step** — five curves
on one axis:
- Compute (dashed, flat)
- Weight fetch (triangles, shrinks 1/B)
- KV fetch (squares, flat — batching doesn't help)
- Memory total (weights + KV, purple)
- Total (compute + memory, black bold)
Makes "which term dominates at this B?" visible at a glance.
4. **Regime formulas table** — one row per cost term (t_com, weight
fetch, KV fetch, bottleneck) × two columns (short-context vs
long-context regime), plus a 'value now' column using the
current S_kv slider.
5. **How to pick B and S_kv — one-paragraph guidance** with the
numeric recommendations plugged in.
6. **Split formula table** — was cramming symbolic + substituted
form into one cell with newlines; now has four proper columns:
Symbol / Formula / With numbers / Meaning / Value.
New pure functions in chip_roofline.py: t_mem_short, t_mem_long,
t_com, good_batch, good_context, utilization_at. All roofline math
stays in the pure module; app.py just calls them and formats.
10 new tests bring the roofline test count to 27 (all 67 tests still
green): t_mem_long(L*) == t_com, doubling B halves t_mem_short,
good_batch scales with sparsity, utilization at 0/L*/2L* returns
1.0/0.5/0.333, monotonic decrease with context.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>