CUDA Package - use CUDA(R) technology to accelerate certain LinearAlgebra routines
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Calling Sequence
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CUDA[command]( arguments )
command( arguments )
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Introduction
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The CUDA package allows Maple to use the graphics processing unit (GPU) of your NVIDIA(R) Compute Unified Device Architecture (CUDA)-enabled hardware to accelerate certain LinearAlgebra routines.
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To use this package, you need NVIDIA CUDA-enabled hardware and the most recent drivers for that hardware installed on your computer. For more information about supported hardware and a complete list of requirements, see the Supported Hardware for CUDA Acceleration help page.
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List of CUDA Package Commands
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The Enable function turns CUDA acceleration on and off.
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The IsEnabled function returns a value of true if CUDA acceleration is turned on and false otherwise.
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The ComputeLevel function indicates the compute level of the CUDA-enabled devices available on your computer.
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The HasDoubleSupport function checks whether the CUDA-enabled devices available on your computer support double precision computations.
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The Properties function displays information about the CUDA-enabled devices available on your computer.
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Examples
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Download Help Document
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