rnormGpu {clrng}

rnormGpu

Description

Generate standard Normal random numbers parallely on a GPU.

Usage

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

Arguments

n

a number or a 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 standard Normal random numbers.

Examples

library(clrng)
if (detectGPUs() >= 1) {
  setContext(grep("gpu", listContexts()$device_type)[1])
  currentPlatform()
  streams <- createStreamsGpu()
  as.vector(rnormGpu(7, streams=streams))

  getOption('clrng.Nglobal')
  # use float precision and global size
  as.matrix(rnormGpu(c(2,3), streams=streams))} else {
  message("No GPU context available")
}