View source: R/benchmark_programming.R
bm_prog_fib | R Documentation |
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)
runs |
Number of times to run the test. Default 3. |
verbose |
Default TRUE. |
cores |
Default 0 (serial). When cores > 0, the benchmark is run in parallel. |
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