benchmarks.util

fn calculate_gflops_gemm(m int, n int, k int, time_ns f64) f64

Calculate GFLOPS for matrix multiplication

fn calculate_gflops_gemv(m int, n int, time_ns f64) f64

Calculate GFLOPS for matrix-vector multiplication

fn format_time(ns f64) string

Format time in appropriate units

fn gflops_gemm_ms(m int, n int, k int, time_ms f64) f64

gflops_gemm_ms exposes this operation as part of the public API.

fn gflops_gemv_ms(m int, n int, time_ms f64) f64

gflops_gemv_ms exposes this operation as part of the public API.

fn mean_time_ms(mut samples []f64) f64

mean_time_ms exposes this operation as part of the public API.

fn print_header(title string)

Print benchmark header

fn print_result(operation string, size string, time_ns f64, extra string)

Print benchmark result row

fn print_table_header()

Print table header

fn print_vs_numpy_row(name string, size string, time_ms f64, extra string)

print_vs_numpy_row exposes this operation as part of the public API.

fn print_vs_numpy_table_header()

vs_numpy compact table (milliseconds + GFLOPS)

fn random_matrix(m int, n int) [][]f64

Generate random matrix (row-major)

fn random_matrix_colmajor(m int, n int) []f64

Generate random matrix flattened (column-major for LAPACK)

fn random_positive_definite(n int) []f64

Generate positive definite matrix (for Cholesky)

fn random_symmetric(n int) []f64

Generate symmetric matrix

fn random_vector(n int) []f64

Generate random vector

struct BenchmarkConfig {
pub:
	sizes       []int
	iterations  int = 10
	warmup_runs int = 3
}

Benchmark configuration