R: Benchmark parallel templates

benchmark {TMB} | R Documentation

## 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)

[Package TMB version 1.7.11 Index]