GPU execution is a technique for high-performance financial, image processing and other data-parallel numerical programming. The following options are available for executing F# on the GPU.
If you would to list an option here, please submit a pull request by editing this page.
Option 1 - Use Alea.cuBase, for F#-enabled CUDA programming
Alea.cuBase is a complete solution to develop CUDA accelerated GPU applications on the .NET framework. It relies on F# to generate highly optimized CUDA code.
Real-world applications of Alea.cuBase include GPU Applications for Modern Large Scale Asset Management and Vulpes, an implementation of deep belief and deep learning for the GPU.
Quantlea are the primary contributors to Alea.cuBase and are a consulting company providing consulting services for F# and financial GPU programming.