Supported Hardware for CUDA Acceleration - Maple Help

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Supported Hardware for CUDA Acceleration

Supported Hardware

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Maple supports Compute Unified Device Architecture ("CUDA") acceleration on the following operating systems:

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Windows(R) (32-bit and 64-bit)

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Linux(R) (64-bit)

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Macintosh(R) OS X (64-bit)

  

You will need to have an NVIDIA(R) CUDA-enabled card and the most recent NVIDIA drivers installed on your computer.

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NVIDIA provides a list of CUDA-enabled cards at http://www.nvidia.com/object/cuda_learn_products.html. Any of these cards may be used; however, your specific hardware may impose certain limitations.

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On Windows, you can install the standard NVIDIA drivers.

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On Linux, you must install NVIDIA closed-source drivers. Most Linux distributions do not install these drivers by default.

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NVIDIA provides a rating, called the compute capability, to describe the capabilities of their hardware devices.

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Hardware with a compute capability of 1.2 or less does not support double precision (float[8] in Maple) computations. Hardware with a compute capability of 1.3 or higher supports double precision computations; however, in current hardware, double precision computations may be slower.

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The amount of memory on the card may limit the size of the computation that can be accelerated.


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