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umx (version 4.9.0)

umx_check_parallel: Check if OpenMx is using OpenMP, test cores, and get timings

Description

Shows how many cores you are using, and runs a test script so user can check CPU usage.

Usage

umx_check_parallel(
  nCores = c(1, omxDetectCores()),
  testScript = NULL,
  rowwiseParallel = TRUE,
  nSubjects = 1000
)

Arguments

nCores

How many cores to run (defaults to c(1, max). -1 = all available.

testScript

A user-provided script to run (NULL)

rowwiseParallel

Whether to parallel-ize rows (default) or gradient computation

nSubjects

Number of rows to model (Default = 1000) Reduce for quicker runs.

Value

None

Details

Some historical (starting 2017-09-06) speeds on my late 2015 iMac, 3.3 GHz Quad-core i7 desktop.

2020-08-09 2.17.3 (OpenMP git) 1 core 01 52 (CSOLNP on laptop)
2020-08-09 2.17.3 (OpenMP git) 4 core 40.184 (CSOLNP on laptop)
2019-06-13 v2.13.2 (OpenMP git) 1 core 01 min, 11 sec (NPSOL)
2019-06-13 v2.13.2 (OpenMP git) 4 core 00 min, 22 sec (NPSOL)
2019-06-13 v2.13.2 (OpenMP git) 6 core 00 min, 21 sec (NPSOL)
2018-10-14 v2.11.5 (OpenMP on CRAN) 4 cores 00 min, 36 sec \(\Delta\):-39.598)
2018-09-17 v2.11.3 1 01 min, 31 sec
2018-09-17 v2.11.3 4 00 min, 30.6 sec \(\Delta\): -61.49)
2017-10-16 v2.7.18-9 1 01 min, 07.30 sec
2017-10-16 v2.7.18-9 4 00 min, 22.63 sec \(\Delta\): -44.68)
2017-10-16 Clang OpenMP 1 01 min, 08.38 sec
2017-10-16 Clang OpenMP 4 00 min, 24.89 sec \(\Delta\): -43.49)
2017-09-07 Clang OpenMP 1 01 min, 12.90 sec
2017-09-07 Clang OpenMP 4 00 min, 32.20 sec \(\Delta\): -40.70
2017-09-07 Clang notOpenMP 1 01 min, 09.90 sec
2017-09-07 TRAVIS 1 01 min, 06.20 sec
2017-09-07 TRAVIS 4 00 min, 21.10 sec \(\Delta\): -45.00

References

See Also

Other Test: umx_check_OS(), umx_check_model(), umx_check_names(), umx_check(), umx_has_CIs(), umx_has_been_run(), umx_has_means(), umx_has_square_brackets(), umx_is_MxData(), umx_is_MxMatrix(), umx_is_MxModel(), umx_is_RAM(), umx_is_cov()

Examples

Run this code
# NOT RUN {
# On a fast machine, takes a minute with 1 core
umx_check_parallel()
# }

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