Files
LocalAI/backend/cpp
Ettore Di Giacinto e610347367 feat(paged): chunked parallel-scan GDN prefill kernel (patch 0031)
Adds patch 0031 to the paged llama.cpp series: an FLA-style chunked
parallel-scan prefill kernel for gated DeltaNet (the upstream
gated_delta_net.cu "Add chunked kernel for even faster pre-fill" TODO).
Scope: non-KDA scalar gate, f32 state, final-state-only, homogeneous.

Bit-exact-benign (NEW per-path): test-backend-ops GATED_DELTA_NET 91/91 within
the 1e-7 NMSE gate vs the CPU reference (patch adds 8 S_v=128 prefill cases:
exact-multiple / tail / multi-seq / GQA / permuted); numpy prototype confirms
f32 chunked-vs-sequential NMSE ~1e-13.

OPT-IN, default OFF: GB10's 99KB dynamic-smem opt-in forces C=16 (the 128x128
f32 state is 64KB of the all-shared layout), pinning the kernel to 1 block/SM
with serial dk-reductions. Measured ~761 t/s chunked vs ~971 t/s sequential
(~22%% slower) on q36-27b-nvfp4 prefill, so it defaults OFF (enable with
GDN_CHUNK_MIN=<n>); the backend default is regression-free. Beating the
84.7%-of-peak sequential scan needs tensor-core matmuls / register-resident
state with larger chunks (recorded in README section 5).

Assisted-by: Claude:opus-4.8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-28 17:09:38 +00:00
..