Amplifier allows .NET developers to easily run complex applications with intensive mathematical computation on Intel CPU/GPU, NVIDIA, AMD without writing any additional C kernel code. Write your function in .NET and Amplifier will take care of running it on your favorite hardware.
This is a LSQR-CUDA implementation written by Lawrence Ayers under the supervision of Stefan Guthe of the GRIS institute at the Technische Universität Darmstadt. The LSQR library was authored Chris Paige and Michael Saunders.
Hardware-accelerated Vector Compute Library for .NET Containing Quality of life improvements and functionality intended for data science, graphical processing and GPGPU.
This is a repository with sample codes for testing memory bandwidth, arithmetic latency hiding and shared/local memory performance on AMD and nVidia devices