BatchtoolsParam-class {BiocParallel} | R Documentation

## Enable parallelization on batch systems

### Description

This class is used to parameterize scheduler options on managed high-performance computing clusters using batchtools.

`BatchtoolsParam()`: Construct a BatchtoolsParam-class object.

`batchtoolsWorkers()`: Return the default number of workers for each backend.

`batchtoolsTemplate()`: Return the default template for each backend.

`batchtoolsCluster()`: Return the default cluster.

`batchtoolsRegistryargs()`: Create a list of arguments to be used in batchtools' `makeRegistry`; see `registryargs` argument.

### Usage

    BatchtoolsParam(
        workers = batchtoolsWorkers(cluster),
        cluster = batchtoolsCluster(),
        registryargs = batchtoolsRegistryargs(),
        saveregistry = FALSE,
        resources = list(),
        template = batchtoolsTemplate(cluster),
        stop.on.error = TRUE, progressbar = FALSE, RNGseed = NA_integer_,
        timeout = 30L * 24L * 60L * 60L, exportglobals=TRUE,
        log = FALSE, logdir = NA_character_, resultdir=NA_character_,
        jobname = "BPJOB"
    )
    batchtoolsWorkers(cluster = batchtoolsCluster())
    batchtoolsCluster(cluster)
    batchtoolsTemplate(cluster)
    batchtoolsRegistryargs(...)

### Arguments

`workers` | `integer(1)`

Number of workers to divide tasks (e.g., elements in the first argument of `bplapply`) between. On 'multicore' and 'socket' backends, this defaults to `multicoreWorkers()` and `snowWorkers()`. On managed (e.g., slurm, SGE) clusters `workers` has no default, meaning that the number of workers needs to be provided by the user.

`cluster` | `character(1)`

Cluster type being used as the backend by `BatchtoolsParam`. The available options are "socket", "multicore", "interactive", "sge", "slurm", "lsf", "torque" and "openlava". The cluster type if available on the machine registers as the backend. Cluster types which need a `template` are "sge", "slurm", "lsf", "openlava", and "torque". If the template is not given then a default is selected from the `batchtools` package.

`registryargs` | `list()`

Arguments given to the registry created by `BatchtoolsParam` to configure the registry and where it's being stored. The `registryargs` can be specified by the function `batchtoolsRegistryargs()` which takes the arguments `file.dir`, `work.dir`, `packages`, `namespaces`, `source`, `load`, `make.default`. It's useful to configure these option, especially the `file.dir` to a location which is accessible to all the nodes on your job scheduler i.e master and workers. `file.dir` uses a default setting to make a registry in your working directory.

`saveregistry` | `logical(1)`

Option given to store the entire registry for the job(s). This functionality should only be used when debugging. The storage of the entire registry can be time and space expensive on disk. The registry will be saved in the directory specified by `file.dir` in `registryargs`; the default locatoin is the current working directory. The saved registry directories will have suffix "-1", "-2" and so on, for each time the `BatchtoolsParam` is used.

`resources` | `named list()`

Arguments passed to the `resources` argument of `batchtools::submitJobs` during evaluation of `bplapply` and similar functions. These name-value pairs are used for substitution into the template file.

`template` | `character(1)`

Path to a template for the backend in `BatchtoolsParam`. It is possible to check which template is being used by the object using the getter `bpbackend(BatchtoolsParam())`. The template needs to be written specific to each backend. Please check the list of available templates in the `batchtools` package.

`stop.on.error` | `logical(1)`

Stop all jobs as soon as one jobs fails (`stop.on.error == TRUE`) or wait for all jobs to terminate. Default is `TRUE`.

`progressbar` | `logical(1)`

Suppress the progress bar used in BatchtoolsParam and be less verbose. Default is `FALSE`.

`RNGseed` | `integer(1)`

Set an initial seed for the RNG. Default is `NULL` where a random seed is chosen upon initialization.

`timeout` | `list()`

Time (in seconds) allowed for worker to complete a task. If the computation exceeds `timeout` an error is thrown with message 'reached elapsed time limit'.

`exportglobals` | `logical(1)`

Export `base::options()` from manager to workers? Default `TRUE`.

`log` | `logical(1)`

Option given to save the logs which are produced by the jobs. If `log=TRUE` then the `logdir` option must be specified.

`logdir` | `character(1)`

Path to location where logs are stored. The argument `log=TRUE` is required before using the logdir option.

`resultdir` | `logical(1)`

Path where results are stored.

`jobname` | `character(1)`

Job name that is prepended to the output log and result files. Default is "BPJOB".

`...` | name-value pairs

Names and values correspond to arguments from batchtools `makeRegistry`.

### BatchtoolsParam constructor

Return an object with specified values. The object may be saved to disk or reused within a session.

### Methods

The following generics are implemented and perform as documented on the corresponding help page: `bpworkers`, `bpnworkers`, `bpstart`, `bpstop`, `bpisup`, `bpbackend`.

`bplapply` handles arguments `X` of classes derived from `S4Vectors::List` specially, coercing to `list`.

### Author(s)

Nitesh Turaga, mailto:nitesh.turaga@roswellpark.org

### See Also

`getClass("BiocParallelParam")` for additional parameter classes.

`register` for registering parameter classes for use in parallel evaluation.

The batchtools package.

### Examples

    ## Pi approximation
    piApprox = function(n) {
        nums = matrix(runif(2 * n), ncol = 2)
        d = sqrt(nums[, 1]^2 + nums[, 2]^2)
        4 * mean(d <= 1)
    }

    piApprox(1000)

    ## Calculate piApprox 10 times
    param <- BatchtoolsParam()
    result <- bplapply(rep(10e5, 10), piApprox, BPPARAM=param)

    ## Not run:
    ## see vignette for additional explanation
    library(BiocParallel)
    param = BatchtoolsParam(workers=5,
                            cluster="sge",
                            template="script/test-sge-template.tmpl")
    ## Run parallel job
    result = bplapply(rep(10e5, 100), piApprox, BPPARAM=param)

    ## bpmapply
    param = BatchtoolsParam()
    result = bpmapply(fun, x = 1:3, y = 1:3, MoreArgs = list(z = 1),
                       SIMPLIFY = TRUE, BPPARAM = param)

    ## bpvec
    param = BatchtoolsParam(workers=2)
    result = bpvec(1:10, seq_along, BPPARAM=param)

    ## bpvectorize
    param = BatchtoolsParam(workers=2)
    ## this returns a function
    bpseq_along = bpvectorize(seq_along, BPPARAM=param)
    result = bpseq_along(1:10)

    ## bpiterate
    ITER <- function(n=5) {
            i <- 0L
            function() {
                i <<- i + 1L
                if (i > n)
                    return(NULL)
            rep(i, n)
            }
        }

    param <- BatchtoolsParam()
    res <- bpiterate(ITER=ITER(), FUN=function(x,y) sum(x) + y, y=10, BPPARAM=param)

    ## save logs
    logdir <- tempfile()
    dir.create(logdir)
    param <- BatchtoolsParam(log=TRUE, logdir=logdir)
    res <- bplapply(rep(10e5, 10), piApprox, BPPARAM=param)

    ## save registry (should be used only for debugging)
    file.dir <- tempfile()
    registryargs <- batchtoolsRegistryargs(file.dir = file.dir)
    param <- BatchtoolsParam(saveregistry = TRUE, registryargs = registryargs)
    res <- bplapply(rep(10e5, 10), piApprox, BPPARAM=param)
    dir(dirname(file.dir), basename(file.dir))

    ## End(Not run)

[Package BiocParallel version 1.22.0 Index]