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Wolfram Language & System Documentation Center
GPUArray
  • See Also
    • GPUArrayQ
    • ArrayQ
    • ArrayDepth
    • MatrixQ
    • VectorQ
    • Dimensions
    • NumericArray
    • SparseArray
    • Array
  • Related Guides
    • GPU Computing
    • GPU Computing with NVIDIA
    • GPU Computing with Apple
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    • See Also
      • GPUArrayQ
      • ArrayQ
      • ArrayDepth
      • MatrixQ
      • VectorQ
      • Dimensions
      • NumericArray
      • SparseArray
      • Array
    • Related Guides
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GPUArray[array]

yields an array stored in memory accessible for GPU-accelerated computation.

Details
Details and Options Details and Options
Examples  
Basic Examples  
Scope  
Basic Uses  
Arrays Operations  
Mathematical Operations  
Show More Show More
Fourier Analysis  
Statistics  
Linear Algebra  
Random Number Generation  
Visualization  
Properties & Relations  
Possible Issues  
See Also
Related Guides
History
Cite this Page
BUILT-IN SYMBOL
  • See Also
    • GPUArrayQ
    • ArrayQ
    • ArrayDepth
    • MatrixQ
    • VectorQ
    • Dimensions
    • NumericArray
    • SparseArray
    • Array
  • Related Guides
    • GPU Computing
    • GPU Computing with NVIDIA
    • GPU Computing with Apple
    • GPU Programming
    • See Also
      • GPUArrayQ
      • ArrayQ
      • ArrayDepth
      • MatrixQ
      • VectorQ
      • Dimensions
      • NumericArray
      • SparseArray
      • Array
    • Related Guides
      • GPU Computing
      • GPU Computing with NVIDIA
      • GPU Computing with Apple
      • GPU Programming

GPUArray

GPUArray[array]

yields an array stored in memory accessible for GPU-accelerated computation.

Details

  • GPUArray provides an efficient representation for storing and manipulating data accessible from a graphics processor unit (GPU).
  • GPUArray is typically used to enhance speed of execution of functions by running computations on the GPU.
  • GPUArray[array] creates an array in GPU memory or unified memory.
  • The array can have the following forms:
  • {e1,…},{{e1,…},…},…full array of numeric elements
    NumericArray[…]numeric array of a specified type
  • Normal[GPUArray[array]] converts the GPUArray object to an ordinary list of values.
  • Additional conversions include:
  • SparseArray[GPUArray[…]]sparse array with few nonzero elements
    NumericArray[GPUArray[…],type]numeric array of a specified type
  • Information for a GPUArray includes the following properties:
  • "ElementType"element native type
    "Dimensions"list of the dimensions
  • Functions such as LinearSolve, Plus and Part work on GPUArray by running the computation on the GPU.
  • GPUArray is treated as a raw object by functions like AtomQ and for purposes of pattern matching.

Examples

open all close all

Basic Examples  (1)

Create a GPUArray object from a vector:

Compute the cosine:

Converts to an ordinary list of values:

Scope  (27)

Basic Uses  (4)

Create a GPUArray object from a vector:

From a matrix:

Use NumericArray to create a GPUArray object of a specified type:

64-bit integers:

Convert a GPUArray object to an ordinary list of values:

Convert to a NumericArray object:

Convert to a SparseArray:

Get information of a GPUArray object:

Dimensions:

Type of elements:

Arrays Operations  (3)

Test whether a GPUArray object is a vector:

A matrix:

Extract parts of a GPUArray object:

Get properties of a GPUArray object:

Dimensions:

Depth:

Byte count:

Mathematical Operations  (6)

Apply arithmetic operations on GPUArray objects:

Addition:

Multiplication:

Power:

Evaluate numerically trigonometric functions:

Sine:

Cosine:

Arc cosine:

Compute transcendental functions:

Exp:

Log:

Power:

Evaluate efficiently hyperbolic functions:

Sinh:

Cosh:

Inverse cosine:

Evaluate numerically integer functions:

Ceiling:

Floor:

Round:

Compute absolute values and signs functions:

Abs:

Sign:

Absolute value of the real:

Fourier Analysis  (2)

Find a discrete Fourier transform:

Inverse Fourier transform of a complex list:

Statistics  (3)

Evaluate statistics functions on a GPUArray object:

Mean:

Geometric mean:

Variance:

Standard deviation:

Skewness:

Minimum of a GPUArray object:

Maximum:

Minimum and maximum:

Sort a GPUArray object:

Linear Algebra  (4)

Apply matrix operations on GPUArray objects:

Dot product:

Transpose:

Trace:

Solve a matrix-vector equation:

A matrix equation:

Solve a matrix-vector least-squares problem:

Solve a matrix-matrix least-squares problem:

Compute the singular value decomposition of a complex-valued matrix:

Up to expected precision loss, m=u.sigma.TemplateBox[{v}, ConjugateTranspose]:

Random Number Generation  (2)

Switch to the GPU random number generator:

Random numbers are now generated using it:

Random integers:

Random complexes:

A specific seed will affect the current GPU random number generator:

Visualization  (3)

Plot a list of values from a continuous probability distribution:

Plot an array of numbers:

Plot a matrix as an array of colors:

Properties & Relations  (4)

Use GPUArrayQ to test whether an object is a valid GPUArray object:

Find the number of bytes used to store a GPUArray object:

Use Normal to retrieve data from GPU:

GPUArray preserves representation types of elements in NumericArray objects:

Element type:

Possible Issues  (2)

GPUArray autoevaluates if no supported GPUs were detected:

Operations without GPU-accelerated support fall back to CPU implementations:

See Also

GPUArrayQ  ArrayQ  ArrayDepth  MatrixQ  VectorQ  Dimensions  NumericArray  SparseArray  Array

Related Guides

    ▪
  • GPU Computing
  • ▪
  • GPU Computing with NVIDIA
  • ▪
  • GPU Computing with Apple
  • ▪
  • GPU Programming

History

Introduced in 2025 (14.2)

Wolfram Research (2025), GPUArray, Wolfram Language function, https://reference.wolfram.com/language/ref/GPUArray.html.

Text

Wolfram Research (2025), GPUArray, Wolfram Language function, https://reference.wolfram.com/language/ref/GPUArray.html.

CMS

Wolfram Language. 2025. "GPUArray." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/GPUArray.html.

APA

Wolfram Language. (2025). GPUArray. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/GPUArray.html

BibTeX

@misc{reference.wolfram_2025_gpuarray, author="Wolfram Research", title="{GPUArray}", year="2025", howpublished="\url{https://reference.wolfram.com/language/ref/GPUArray.html}", note=[Accessed: 01-December-2025]}

BibLaTeX

@online{reference.wolfram_2025_gpuarray, organization={Wolfram Research}, title={GPUArray}, year={2025}, url={https://reference.wolfram.com/language/ref/GPUArray.html}, note=[Accessed: 01-December-2025]}

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