Supported Hardware for CUDA Acceleration
Maple supports Compute Unified Device Architecture ("CUDA") acceleration on the following operating systems:
You will need to have an NVIDIA(R) CUDA-enabled card and the most recent NVIDIA drivers installed on your computer.
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.
On Windows, you can install the standard NVIDIA drivers.
On Linux, you must install NVIDIA closed-source drivers. Most Linux distributions do not install these drivers by default.
On Mac, note that macOS 10.14 and higher do not support CUDA.
NVIDIA provides a rating, called the compute capability, to describe the capabilities of their hardware devices.
Hardware with a compute capability of 1.2 or less does not support double precision (float 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.
The amount of memory on the card may limit the size of the computation that can be accelerated.
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