7 best C# GPU libraries in 2024

The next evolution of scientific computing will involve hardware accelerators, mainly FPGAs and GPUs, which have a higher number of cores and faster clock speeds than their CPU counterparts. With the ever-expanding functionality of personalized computing devices, it is now possible to achieve high performance computing on the graphics processing unit (GPU) with little knowledge of programming for parallel computing. Computing on the GPU has been shown to yield faster computation times than traditional CPU (central processing unit) programming by taking advantage of the high thread counts and large register files available on modern GPUs. Some of the most widely used open source libraries for C# GPU among developers include: Compute Sharp - NET 5 library to run C; GPU-particles - A GPU Particle System for Unity; Marching-Cubes-On-The-GPU - A implementation of the marching cubes algorithm on the GPU in Unity.