gpuSapply: A GPU version of the sapply function

In gpuMagic: An openCL compiler with the capacity to compile R functions and run the code on GPU

Description

Please refer to sapply to see the basic usage

Usage

gpuSapply(
  X,
  FUN,
  ...,
  .macroParms = NULL,
  .device = "auto",
  loading = "auto",
  .options = gpuSapply.getOption()
)

Arguments

X	a vector that FUN will loop over.
FUN	The function to be applied to each element of X
...	optional arguments to FUN
.macroParms	The function argument that will be treated as macro in the code. If an argument is treated as macro, its value cannot be changed by the code
.device	the device ID(s) indicates the device that the function will be excuted on. Running the code on Multiple devices is supported but is still under development
loading	The loading of each device, only useful when having multiple devices.
.options	The package and openCL compilation options, please call gpuSapply.getOption() to get all the available options

Details

This function compiles the R code and runs it on the openCL-compatible devices. The usage is similar to the sapply function with some addtional opencl-related arguments.

Value

A vector or a matrix

Examples

#matrix multiplication function
matMul = function(ind,A,B){
C = A%*%B[,ind]
return(C)
}

n = 100
m = 200
k = 100
#Create the data
A = matrix(runif(n*m),n,m)
B = matrix(runif(k*m),m,k)
#Perform matrix multiplication
#GPU
res_gpu = gpuSapply(1:k,matMul,A,B)
#CPU
res_cpu = sapply(1:k,matMul,A,B)

#error
range(res_gpu-res_cpu)

gpuMagic documentation built on Nov. 8, 2020, 5:15 p.m.