runifGpu {clrng}

runifGpu

Description

Generate uniform random numbers parallely on a GPU.

Usage

runifGpu(
  n,
  streams,
  Nglobal = getOption("clrng.Nglobal"),
  type = getOption("clrng.type"),
  verbose = FALSE
)

Arguments

n

a number or a numeric vector specifying the size of output vector or matrix.

streams

a vclMatrix of streams.

Nglobal

a (non-empty) integer vector specifying size of work items for use, with default value from global option 'clrng.Nglobal'.

type

a character string specifying "double" or "float" of random numbers, with default value from global option 'clrng.type'.

verbose

a logical value, if TRUE, print extra information, default is FALSE.

Details

type specifies the precision type of random numbers. If GPU supports "double", 'clrng.Nglobal' is "double", otherwise, ‘clrng.Nglobal’ is "single".

Value

a 'vclVector' or 'vclMatrix' of uniform random numbers.

Examples

 
library('clrng')
if (detectGPUs() >= 1) {
  setContext(grep("gpu", listContexts()$device_type)[1])
  currentDevice()
  getOption('clrng.Nglobal')
  streams <- createStreamsGpu()
  as.vector(runifGpu(5, streams))

  # Change global options 
  options(clrng.type="float")
  # produce a matrix of random numbers
  as.matrix(runifGpu(c(2,2), streams))} else {
  message("No GPU context available")
}