gpuCrossprod: Perform Matrix Cross-product with a GPU
In gputools: A Few GPU Enabled Functions
Description
Usage
Arguments
Value
Examples
Description
Performs matrix cross-product using a GPU. This function is merely a
couple of wrappers for the CUBLAS cublasSgemm function.
Usage
1
gpuCrossprod(a, b=NULL)
Arguments
a
a matrix of floating point values.
b
a matrix of floating point values. A null value
defaults to 'a'.
Value
A matrix of single precision floating point values.
The matrix is the cross-product of arguments 'a' and 'b', i.e.,
t(a) * b.
Examples
1
2
3
matA <- matrix(runif(3*2), 3, 2)
matB <- matrix(runif(3*4), 3, 4)
gpuCrossprod(matA, matB)
gputools documentation built on May 30, 2017, 1:52 a.m.
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Description Usage Arguments Value Examples
Description
Performs matrix cross-product using a GPU. This function is merely a couple of wrappers for the CUBLAS cublasSgemm function.
Usage
1 | gpuCrossprod(a, b=NULL)
|
Arguments
a |
a matrix of floating point values. |
b |
a matrix of floating point values. A null value defaults to 'a'. |
Value
A matrix of single precision floating point values. The matrix is the cross-product of arguments 'a' and 'b', i.e., t(a) * b.
Examples
1 2 3 | matA <- matrix(runif(3*2), 3, 2)
matB <- matrix(runif(3*4), 3, 4)
gpuCrossprod(matA, matB)
|
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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