CUDAMatrix[data]
yields a matrix of data which resides on a CUDA enabled GPU.
CUDAMatrix[data,type]
yields a matrix of the specified type.


CUDAMatrix
CUDAMatrix[data]
yields a matrix of data which resides on a CUDA enabled GPU.
CUDAMatrix[data,type]
yields a matrix of the specified type.
Details and Options
- The CUDALink application must be loaded using Needs["CUDALink`"].
- The resources used by a CUDAMatrix are automatically reclaimed from the GPU when they are no longer used.
- The data in a CUDAMatrix can be retrieved by Normal.
- A number of functions accept and return CUDAMatrix objects allowing operations to work with data that stays on the GPU.
- Possible types for CUDAVector are:
-
"Integer32" "Real32" "ComplexReal32" "Integer64" "Real64" "ComplexReal64"
Examples
open all close allBasic Examples (1)
Possible Issues (1)
Normal of a CUDAMatrix is a NumericArray:
To get the underlying data, Normal is applied twice:
Tech Notes
Related Guides
-
▪
- CUDALink
Text
Wolfram Research (2022), CUDAMatrix, Wolfram Language function, https://reference.wolfram.com/language/CUDALink/ref/CUDAMatrix.html.
CMS
Wolfram Language. 2022. "CUDAMatrix." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/CUDALink/ref/CUDAMatrix.html.
APA
Wolfram Language. (2022). CUDAMatrix. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/CUDALink/ref/CUDAMatrix.html
BibTeX
@misc{reference.wolfram_2025_cudamatrix, author="Wolfram Research", title="{CUDAMatrix}", year="2022", howpublished="\url{https://reference.wolfram.com/language/CUDALink/ref/CUDAMatrix.html}", note=[Accessed: 14-August-2025]}
BibLaTeX
@online{reference.wolfram_2025_cudamatrix, organization={Wolfram Research}, title={CUDAMatrix}, year={2022}, url={https://reference.wolfram.com/language/CUDALink/ref/CUDAMatrix.html}, note=[Accessed: 14-August-2025]}