Module simd_sparse_gp

Module simd_sparse_gp 

Source
Expand description

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