ggml-cpu : optimize RVV kernels #15720
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PerformanceBenchmark model: unsloth/Qwen3-4B-Instruct-2507-GGUF (ModelScope Hugging Face)
ValidationTest model: unsloth/Qwen3-0.6B-GGUF (ModelScope Hugging Face) llama-perplexity -m Qwen3-0.6B-Q4_K_M.gguf -f wikitext-2-raw/wiki.test.raw
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ggerganov
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…upport * origin/master: (72 commits) metal : Add template specialization for mul_mm_id w/ ne20 == 10 (ggml-org#15799) llama : set n_outputs to 1 to avoid 0 outputs mean-pooling (ggml-org#15791) CANN: Refactor ND to NZ workspace to be per-device (ggml-org#15763) server: add exceed_context_size_error type (ggml-org#15780) Document the new max GPU layers default in help (ggml-org#15771) ggml: add ops for WAN video model (cuda && cpu) (ggml-org#15669) CANN: Fix precision issue on 310I DUO multi-devices (ggml-org#15784) opencl: add hs=40 to FA (ggml-org#15758) CANN: fix acl_rstd allocation size in ggml_cann_rms_norm (ggml-org#15760) vulkan: fix mmv subgroup16 selection (ggml-org#15775) vulkan: don't use std::string in load_shaders, to improve compile time (ggml-org#15724) vulkan : update ggml_vk_instance_validation_ext_available (ggml-org#15666) ggml vulkan: add hardsigmoid and hardswish operations (ggml-org#15762) CUDA: Optimize `rms_norm_f32` kernel and its fused variants, giving 1-6% perf E2E (ggml-org#15715) model-conversion : fix pyright errors (ggml-org#15770) sampling : optimize dist sampler (ggml-org#15704) llama : fix incorrect model type for Gemma 270M (ggml-org#15764) model-conversion : remove hardcoded /bin/bash shebangs [no ci] (ggml-org#15765) CANN: Add RoPE contiguous check for 310I DUP device (ggml-org#15735) ggml-cpu : optimize RVV kernels (ggml-org#15720) ...
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* ggml-cpu : optimize rvv ggml_vec_dot_f32 * ggml-cpu : optimize 128-bit rvv ggml_vec_dot_q4_K_q8_K * ggml-cpu : fix riscv arch flags * ggml-cpu : add more rvv ops * ggml-cpu : optimize rvv ggml_vec_dot_q4_K_q8_K * ggml-cpu : optimize rvv ggml_vec_dot_q6_K_q8_K * ggml-cpu : minor rvv adjustments * ggml-cpu : fix riscv include
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This PR introduces performance optimizations for some RISC-V kernels and expands hardware support by enabling half-precision extensions.
Using the
perfprofiler, I identified significant performance bottlenecks caused by pipeline stalls. The following 128-bit RVV kernels have been rewritten to resolve these issues:ggml_vec_dot_q4_K_q8_Kggml_vec_dot_q6_K_q8_KTo facilitate intermediate results using half-precision floats, this PR enables the
zvfhextension and adds implementations for several performance-critical kernels.