GPGPU Playground
A virtual GPU to learn GPU programming
GPUs are an extremely effective and widely deployed vector co-processor, and yet those interested in adapting their capabilities are faced with a very high barrier to entry. Tools like OpenCL, CUDA, and WebGL all require a broad background to get started solving even simple problems, and mistakes in larger programs can be nearly impossible to identify without an even deeper level of experience. This project takes advantage of WebAssembly and Vulkan's SPIR-V format to deliver a safe, on-demand toolkit for exploring the potential of GPUs, focused on applications outside the bounds of traditional graphics acceleration.
- The project's own website: https://sethp.github.io/learn-gpgpu/
This project was funded through the NGI0 Core Fund, a fund established by NLnet with financial support from the European Commission's Next Generation Internet programme, under the aegis of DG Communications Networks, Content and Technology under grant agreement No 101092990.
