Kartik Sirohi 4c51309617 ggml: vectorize ggml_vec_dot_q4_1_q8_1 with WASM SIMD128 (#22209) ...

* ggml: vectorize ggml_vec_dot_q4_1_q8_1 with WASM SIMD128

Optimize the inner loop of ggml_vec_dot_q4_1_q8_1_generic using
WASM SIMD128 intrinsics, gated behind #ifdef __wasm_simd128__ so
non-wasm builds are completely unaffected.

Approach:
- single wasm_v128_load covers all 32 packed 4-bit weights
- nibbles unpacked via AND/SHR into two u8x16 registers
- widened to i16 before multiply (WASM SIMD has no i8*i8 instruction)
- 4x wasm_i32x4_dot_i16x8 calls accumulate all 32 element pairs
- horizontal reduce via 4x wasm_i32x4_extract_lane

Benchmark (node v25, emcc -O3 -msimd128, 64 blocks x QK8_1=32,
200k iterations):

| impl   | ns/call | speedup |
|--------|---------|---------|
| scalar |   880.7 |   1.00x |
| simd   |   257.8 |   3.42x |

Correctness verified against scalar reference across 10 random seeds
with exact output match.

* ggml: move q4_1_q8_1 WASM SIMD implementation to wasm backend

Relocate the SIMD128 implementation of ggml_vec_dot_q4_1_q8_1 to ggml/src/ggml-cpu/arch/wasm/quants.c to follow architecture-specific layout. Restore the generic implementation in ggml/src/ggml-cpu/quants.c.
Move for loop in the else block.

* ggml: use generic q4_1_q8_1 fallback in wasm backend

2026-06-04 16:12:38 +03:00

..

cmake

ggml : Parallelize quant LUT init (#23595)

2026-05-25 10:15:46 +03:00

include

TP: quantized KV cache support (#23792)

2026-06-01 12:30:10 +02:00

src

ggml: vectorize ggml_vec_dot_q4_1_q8_1 with WASM SIMD128 (#22209)

2026-06-04 16:12:38 +03:00

.gitignore

vulkan : cmake integration (#8119)

2024-07-13 18:12:39 +02:00

CMakeLists.txt

ggml : bump version to 0.13.1 (ggml/1523)

2026-05-29 09:56:08 +03:00