CUDALink`
CUDALink`

CUDASparseMatrix

CUDASparseMatrix[sparse,type]

yields a sparse matrix 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 CUDASparseMatrix are automatically reclaimed from the GPU when they are no longer used.
  • The data in a CUDASparseMatrix can be retrieved by Normal.
  • A number of functions accept and return CUDASparseMatrix objects allowing operations to work with data that stays on the GPU.
  • Possible types for CUDASparseMatrix are:
  • RealComplex
    "Real32""ComplexReal32"
    "Real64""ComplexReal64"

Examples

open allclose all

Basic Examples  (1)

First, load the CUDALink application:

Create a sparse vector of data that lives on the GPU:

Retrieve the data from a CUDASparseMatrix:

Compute a dot product on the GPU (the result also resides on the GPU):

Scope  (1)

Information  (1)

Information about the CUDA sparse matrix:

Possible Issues  (1)

Normal of a CUDASparseMatrix is a SparseArray:

To get the underlying data, Normal is applied twice:

Wolfram Research (2022), CUDASparseMatrix, Wolfram Language function, https://reference.wolfram.com/language/CUDALink/ref/CUDASparseMatrix.html.

Text

Wolfram Research (2022), CUDASparseMatrix, Wolfram Language function, https://reference.wolfram.com/language/CUDALink/ref/CUDASparseMatrix.html.

CMS

Wolfram Language. 2022. "CUDASparseMatrix." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/CUDALink/ref/CUDASparseMatrix.html.

APA

Wolfram Language. (2022). CUDASparseMatrix. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/CUDALink/ref/CUDASparseMatrix.html

BibTeX

@misc{reference.wolfram_2024_cudasparsematrix, author="Wolfram Research", title="{CUDASparseMatrix}", year="2022", howpublished="\url{https://reference.wolfram.com/language/CUDALink/ref/CUDASparseMatrix.html}", note=[Accessed: 21-December-2024 ]}

BibLaTeX

@online{reference.wolfram_2024_cudasparsematrix, organization={Wolfram Research}, title={CUDASparseMatrix}, year={2022}, url={https://reference.wolfram.com/language/CUDALink/ref/CUDASparseMatrix.html}, note=[Accessed: 21-December-2024 ]}