CUDA is a parallel computing platform and programming model developed by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU). GPU computing is a standard feature in all NVIDIA's 8-Series and later GPUs. The entire NVIDIA Tesla line supports CUDA. For a full list of supported products, see:
NMath Premium automatically detects the presence of a CUDA-enabled GPU at runtime (64-bit only) and seamlessly redirects appropriate computations to it.1 The library can be configured to specify which problems should be solved by the GPU, and which by the CPU. If a GPU is not present at runtime, the computation automatically falls back to the CPU without error.
NOTE—There is no GPU support on 32-bit systems. Computations always fall back to the CPU.
With the exception of some optional GPU configuration settings, the API is identical between NMath and NMath Premium.
For more information on using NMath Premium, see Chapter 39. For performance benchmarks, see CenterSpace whitepaper NMath Premium: GPU-Accelerated Math Libraries for .NET.
- A Tesla-class device is required to run NMath Premium code using Remote Desktop. Install a Tesla Compute Cluster (TCC) driver and set the Tesla device to TCC mode. The TCC driver enables Remote Desktop, but disables graphics on the Tesla device.