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Maple can take advantage of CUDA-enabled graphics cards
to leverage the tremendous computational power of those cards,
dramatically speeding up key computations.
- The CUDA package allows Maple to use the graphics
processing unit (GPU) of your NVIDIA Compute Unified Device Architecture
(CUDA)-enabled hardware to accelerate key linear algebra routines, when
such a card is available on your computer.
- Numeric computations done using CUDA acceleration can run an order of magnitude faster.
- The key computations that take advantage of the CUDA
technology are fundamental, often repeated steps in virtually all matrix
computations, so substantial speedups are available for all your
large-scale linear algebra problems.
- Both single (float[4]) and double-precision
(float[8]) operations are supported, depending on the capabilities of
the GPU hardware in use.
- New in Maple 15, CUDA-accelerated functionality is now also available on Macintosh OS X platforms.
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Datasheet
