Offloading to GPU

NMath Premium’s new Adaptive GPU Bridge Architecture

The most recent release of NMath Premium 6.0 is a major update which includes an upgraded optimization suite, now backed by the Microsoft Solver Foundation, a significantly more powerful GPU-bridge architecture, and a new class for cubic smoothing splines. This blog post will focus on the new API for doing computation on GPU's with NMath Premium. The adaptive GPU bridge API in NMath Premium 6....
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Offloading Computation to your GPU

Large computational problems are offloaded onto a GPU because the problems run substantially faster on the GPU than on the CPU. By leveraging the innate parallelism of the GPU overall performance of the application is improved. (For example, see here and here.) However a second collateral benefit of moving computation to the GPU is the resulting offloading of computation from the CPU. But, until t...
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