I've noticed that Nvidia's new gpu's have tensor cores. Does anybody have any experience using/programming them for use when backtesting? Is it even possible? The computing power seems immense (in the Teraflops).... much more powerful than CUDA cores.
Traditional: https://devblogs.nvidia.com/hybridizer-csharp/ "lets you program GPUs and other accelerators from C# code or .NET Assembly." ML related: "Retrieves and returns additional properties (total memory, number of CUDA cores, etc.) for the specified GPU device." "parallelization across multiple GPUs and servers." https://docs.microsoft.com/en-us/cognitive-toolkit/Debugging-CNTK-source-code-in-Visual-Studio