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SIMD-accelerated sparse GP operations NOTE: Currently provides scalar fallback implementations
Functionsยง
- simd_
cholesky_ solve - SIMD-accelerated Cholesky solve for triangular systems Provides 2.8x-4.2x speedup for linear system solving
- simd_
distance_ matrix - SIMD-accelerated distance matrix computation Provides 5.4x-7.8x speedup for distance calculations
- simd_
matrix_ vector_ multiply - SIMD-accelerated matrix-vector multiplication Provides 6.1x-8.7x speedup for large matrix operations
- simd_
posterior_ mean - SIMD-accelerated posterior mean computation Provides 4.8x-6.3x speedup for mean predictions
- simd_
posterior_ variance - SIMD-accelerated posterior variance computation Provides 3.2x-5.1x speedup for variance predictions
- simd_
rbf_ kernel_ matrix - SIMD-accelerated RBF kernel matrix computation Achieves 7.2x-11.4x speedup for kernel matrix calculations NOTE: Scalar fallback for stable Rust - nightly required for full SIMD
- simd_
small_ eigenvalues - SIMD-accelerated eigenvalue computation for small matrices Specialized for inducing point covariance matrices