Linked from

The 8 pages that link to CUDA, each with the reason it gives.

• Graphics processing unitRelated: It exposes GPU computation beyond graphics through a widely used software ecosystem.

• Parallel computingRelated: CUDA lets programs assign computational work to NVIDIA GPUs.

• NvidiaRelated: CUDA gives developers a way to use Nvidia GPUs beyond rendering graphics.

• OpenCLCompared with: CUDA offers a mature, NVIDIA-specific alternative to OpenCL’s cross-vendor standard.

• Graphics cardRelated: It helped make graphics cards widely used for non-graphics computing.

• Hardware accelerationRelated: CUDA is a widely used software stack for GPU acceleration.

• Jensen HuangBroader topic: Huang backed CUDA, which expanded Nvidia GPUs beyond graphics.

• General-purpose computing on graphics processing unitsRelated: It provides a widely used way to write general-purpose programs for NVIDIA GPUs.