This is stars and forks stats for /exanauts/ExaAdmm.jl repository. As of 10 May, 2024 this repository has 14 stars and 1 forks.
ExaAdmm.jl ExaAdmm.jl implements the two-level alternating direction method of multipliers for solving the component-based decomposition of alternating current optimal power flow problems on GPUs. How to install The package can be installed in the Julia REPL with the command below: ] add ExaAdmm Running the algorithms on the GPU requires either NVIDIA GPUs with CUDA.jl or KernelAbstractions.jl (KA) with the respective device support (e.g., AMDGPU.jl and ROCKernels.jl). Currently, only the ACOPF...
ExaAdmm.jl ExaAdmm.jl implements the two-level alternating direction method of multipliers for solving the component-based decomposition of alternating current optimal power flow problems on GPUs. How to install The package can be installed in the Julia REPL with the command below: ] add ExaAdmm Running the algorithms on the GPU requires either NVIDIA GPUs with CUDA.jl or KernelAbstractions.jl (KA) with the respective device support (e.g., AMDGPU.jl and ROCKernels.jl). Currently, only the ACOPF...
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