GPUArray—Wolfram Documentation
GPUArray[array]
yields an array stored in memory accessible for GPU-accelerated computation.
Examples
open all close allBasic Examples (1)
Scope (27)
Basic Uses (4)
Arrays Operations (3)
Mathematical Operations (6)
Apply arithmetic operations on GPUArray objects:
Evaluate numerically trigonometric functions:
Compute transcendental functions:
Evaluate efficiently hyperbolic functions:
Evaluate numerically integer functions:
Fourier Analysis (2)
Statistics (3)
Linear Algebra (4)
Apply matrix operations on GPUArray objects:
Solve a matrix-vector 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:
Random Number Generation (2)
Properties & Relations (4)
Possible Issues (2)
GPUArray autoevaluates if no supported GPUs were detected:
Operations without GPU-accelerated support fall back to CPU implementations:
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: 22-February-2026]}
BibLaTeX
@online{reference.wolfram_2025_gpuarray, organization={Wolfram Research}, title={GPUArray}, year={2025}, url={https://reference.wolfram.com/language/ref/GPUArray.html}, note=[Accessed: 22-February-2026]}