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feat(hpc): SIMD-accelerate activations and vml via F32x16 compat types activations.rs: - Add standalone sigmoid_f32, softmax_f32, log_softmax_f32 functions using F32x16 polynomial exp. 3-pass softmax: SIMD max → SIMD exp+sum → SIMD normalize. - Generic trait impl unchanged. 6 new tests. vml.rs (linter-applied changes preserved): - vsexp, vssqrt, vsabs now use F32x16 SIMD (16-wide main loop + scalar tail) - vsadd, vsmul, vsdiv use F32x16 operator overloads 820 tests pass, zero regressions. https://claude.ai/code/session_01CdqyUTUfjKZuk8YGJzv6LB #21

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Merged
AdaWorldAPI merged 2 commits into from
Mar 22, 2026
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feat(hpc): SIMD-accelerate activations and vml via F32x16 compat types activations.rs: - Add standalone sigmoid_f32, softmax_f32, log_softmax_f32 functions using F32x16 polynomial exp. 3-pass softmax: SIMD max → SIMD exp+sum → SIMD normalize. - Generic trait impl unchanged. 6 new tests. vml.rs (linter-applied changes preserved): - vsexp, vssqrt, vsabs now use F32x16 SIMD (16-wide main loop + scalar tail) - vsadd, vsmul, vsdiv use F32x16 operator overloads 820 tests pass, zero regressions. https://claude.ai/code/session_01CdqyUTUfjKZuk8YGJzv6LB #21

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feat(backend): add SIMD compat layer and refactor kernels to use port…
claude Mar 22, 2026
3b928a6
feat(hpc): SIMD-accelerate activations and vml via F32x16 compat types
claude Mar 22, 2026
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