benchmark: Benchmark parallel templates

In TMB: Template Model Builder: A General Random Effect Tool Inspired by 'ADMB'

Benchmark parallel templates

Description

Benchmark parallel templates

Plot result of parallel benchmark

Usage

benchmark(obj, n = 10, expr = NULL, cores = NULL)

## S3 method for class 'parallelBenchmark'
plot(x, type = "b", ..., show = c("speedup", "time"), legendpos = "topleft")

Arguments

obj	Object from MakeADFun
n	Number of replicates to obtain reliable results.
expr	Optional expression to benchmark instead of default.
cores	Optional vector of cores.
x	Object to plot
type	Plot type
...	Further plot arguments
show	Plot relative speedup or relative time?
legendpos	Position of legend

Details

By default this function will perform timings of the most critical parts of an AD model, specifically

1. Objective function of evaluated template.

2. Gradient of evaluated template.

3. Sparse hessian of evaluated template.

4. Cholesky factorization of sparse hessian.

(for pure fixed effect models only the first two). Expressions to time can be overwritten by the user (expr). A plot method is available for Parallel benchmarks.

Examples

## Not run: 
runExample("linreg_parallel",thisR=TRUE)  ## Create obj
ben <- benchmark(obj,n=100,cores=1:4)
plot(ben)
ben <- benchmark(obj,n=10,cores=1:4,expr=expression(do.call("optim",obj)))
plot(ben)

## End(Not run)

TMB documentation built on Nov. 27, 2023, 5:12 p.m.