The most release of NMath Premium 6.0 is a major upgrade to the GPU API and it enables users to easily use multiple installed NVIDIA GPU’s. As always, using NMath Premium to leverage GPU’s never requires any kernel-level GPU programming or other specialized GPU programming skills. In the following article, after introducing the new GPU bridge architecture, we’ll discuss each of the new API features separately with code examples.
Once Microsoft published the
Threading.Task library with .NET 4 many programmers who never or only occasionally wrote multi-threaded code were now doing so regularly with the
Threading.Task API. The Task library reduced the complexity of writing threaded code and provided a several new related classes to make the process easier while eliminating some pitfalls. In this post I’m going to show how to use the Task library with NMath Premium 6.0 to run tasks in parallel on multiple GPU’s and the CPU.
Centerspace Software is pleased to announce new versions of the NMath libraries – NMath 6.0, and NMath Stats 4.0.
NVIDIA GPU Technology Workshop in SE Asia CenterSpace will be giving a presentation at the upcoming GPU Technology Workshop South East Asia on July 10. The conference will be held at the Suntec Singapore Convention & Exhibition Centre. For a full schedule of talks see the agenda. Abstract From CPU to GPU: a comparative case…
This is a follow-up to an earlier customer story. Several years ago, CenterSpace kindly lent us its .NET mathematical library, NMath, for purely academic research purposes in the area of evolutionary robotics and robot navigation. The global robot localization task in a known environment was solved using 2D Laser SickPLS100 and point-to-point metrics. Navigation algorithms…