A collection of matrix programming benchmark functions
3,500,000 Fibonacci numbers calculation (vector calc).
Creation of a 3500x3500 Hilbert matrix (matrix calc).
Grand common divisors of 1,000,000 pairs (recursion).
Creation of a 1600x1600 Toeplitz matrix (loops).
Escoufier's method on a 60x60 matrix (mixed).
These benchmarks have been developed by many authors.
See http://r.research.att.com/benchmarks/R-benchmark-25.R
for a complete history. The function benchmark_prog() runs the five bm functions.
bm_prog_fib(runs = 3, verbose = TRUE)
bm_prog_hilbert(runs = 3, verbose = TRUE)
bm_prog_gcd(runs = 3, verbose = TRUE)
bm_prog_toeplitz(runs = 3, verbose = TRUE)
bm_prog_escoufier(runs = 3, verbose = TRUE)
benchmark_prog(runs = 3, verbose = TRUE, cores = 0L)Number of times to run the test. Default 3.
Default TRUE.
Default 0 (serial). When cores > 0, the benchmark is run in parallel.