corridorkey-mrp-mlx/docs
modelbeast fd00c31b1d docs: add M5 — head_dim padding is worth ~5x on laptops (vs ~2x on Ultras)
M5 MacBook Pro (10-core GPU, 16GB) reproduces the head_dim=56 silent fallback
and shows the fix matters far MORE on narrow GPUs: padding 56->64 gives 4.9x
(1,16,4096), 5.1x (1,16,2048), 3.2x (4096,2,64). Raw fused-vs-unfused at
4096/fp32 is 0.14x on M5 vs ~0.53x on M3 Ultra — an M5 laptop matches an M1
Ultra on fused attention but is ~4x slower unfused. This reframes the fix as a
laptop optimization, not a big-iron one.
2026-07-16 23:54:49 +10:00
..
benchmarks docs: wave2 ablation benchmarks + optimization plan + brainstorm 2026-03-09 19:32:04 -02:30
brainstorms docs: wave2 ablation benchmarks + optimization plan + brainstorm 2026-03-09 19:32:04 -02:30
plans docs: wave2 ablation benchmarks + optimization plan + brainstorm 2026-03-09 19:32:04 -02:30
2026-07-16-m-series-fleet-ablation-results.md docs: add M5 — head_dim padding is worth ~5x on laptops (vs ~2x on Ultras) 2026-07-16 23:54:49 +10:00
MLX Vision Transformer Optimization Techniques.md docs: wave2 ablation benchmarks + optimization plan + brainstorm 2026-03-09 19:32:04 -02:30