multiplyGPU: multiplygpu
In yuanli22/RCUDA: GPU Enabled BLAS, LAPACK, Statistical Functions and Random Number Generators
Description
Usage
Arguments
Value
See Also
Examples
Description
This function computes the element-wise multiplication of
two given vectors/matricesby using CUDA cublas function cublasDdgmm
Usage
1
multiplygpu(x, y)
Arguments
x
list consisting of R external GPU pointer and dimension
y
list consisting of R external GPU pointer and dimension
Value
element-wise multiplication of vectors/matrices (x * y),
a list consisting of
ptr: GPU pointer
m: number of rows
n: number of columns
See Also
Examples
1
2
3
4
5
6
a <- 1:4
b <- 2:5
a_gpu <- creategpu(a)
b_gpu <- creategpu(b)
multiplygpu(a_gpu, b_gpu) -> c_gpu
gathergpu(c_gpu)
yuanli22/RCUDA documentation built on May 4, 2019, 6:35 p.m.
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Description Usage Arguments Value See Also Examples
Description
This function computes the element-wise multiplication of two given vectors/matricesby using CUDA cublas function cublasDdgmm
Usage
1 | multiplygpu(x, y)
|
Arguments
x |
list consisting of R external GPU pointer and dimension |
y |
list consisting of R external GPU pointer and dimension |
Value
element-wise multiplication of vectors/matrices (x * y), a list consisting of
ptr: GPU pointer
m: number of rows
n: number of columns
See Also
Examples
1 2 3 4 5 6 | a <- 1:4
b <- 2:5
a_gpu <- creategpu(a)
b_gpu <- creategpu(b)
multiplygpu(a_gpu, b_gpu) -> c_gpu
gathergpu(c_gpu)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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