Compute Backends (GPU Choices)

DiffEqGPU.jl supports a multitude of different GPU devices. These must be chosen during the construction of the EnsembleGPUArray and EnsembleGPUKernel construction and correpond to the compute backends of KernelAbstractions.jl. The choices for backends are:

• CUDA.CUDABackend(): For NVIDIA GPUs via code generation for CUDA kernels.
• AMDGPU.ROCBackend(): For AMD GPUs via code generation for ROCm kernels.
• oneAPI.oneAPIBackend(): For Intel GPUs via code generation for OneAPI kernels.
• Metal.MetalBackend(): For Apple Silicon (M-Series such as M1 or M2) via code generation for Metal kernels.

This is used for example like EnsembleGPUKernel(oneAPI.oneAPIBackend()) to enable the computations for Intel GPUs. The choice of backend is mandatory and requires the installation of the respective package. Thus for example, using the OneAPI backend requires that the user has successfully installed oneAPI.jl and has an Intel GPU.