CUDASparseVector[sparse,type]
yields a sparse vector of given type which resides on a CUDA enabled GPU.


CUDASparseVector
CUDASparseVector[sparse,type]
yields a sparse vector of given type which resides on a CUDA enabled GPU.
Details and Options
- The CUDALink application must be loaded using Needs["CUDALink`"].
- The resources used by a CUDASparseVector are automatically reclaimed from the GPU when they are no longer used.
- The data in a CUDASparseVector can be retrieved by Normal.
- A number of functions accept and return CUDASparseVector objects allowing operations to work with data that stays on the GPU.
- Possible types for CUDASparseVector are:
-
"Real32" "ComplexReal32" "Real64" "ComplexReal64"
Examples
open all close allBasic Examples (1)
Possible Issues (1)
Normal of a CUDASparseVector is a SparseArray:
To get the underlying data, Normal is applied twice:
Tech Notes
Related Guides
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▪
- CUDALink
Text
Wolfram Research (2022), CUDASparseVector, Wolfram Language function, https://reference.wolfram.com/language/CUDALink/ref/CUDASparseVector.html.
CMS
Wolfram Language. 2022. "CUDASparseVector." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/CUDALink/ref/CUDASparseVector.html.
APA
Wolfram Language. (2022). CUDASparseVector. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/CUDALink/ref/CUDASparseVector.html
BibTeX
@misc{reference.wolfram_2025_cudasparsevector, author="Wolfram Research", title="{CUDASparseVector}", year="2022", howpublished="\url{https://reference.wolfram.com/language/CUDALink/ref/CUDASparseVector.html}", note=[Accessed: 14-August-2025]}
BibLaTeX
@online{reference.wolfram_2025_cudasparsevector, organization={Wolfram Research}, title={CUDASparseVector}, year={2022}, url={https://reference.wolfram.com/language/CUDALink/ref/CUDASparseVector.html}, note=[Accessed: 14-August-2025]}