Create SimpleNonlinearSolve_Kernel_Tutorial.md #423
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| - AMDGPU.jl (for AMD GPUs) | ||
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| ## Writing the Kernel | ||
| Define a kernel using <b>'@kernel'</b> from <b>'KernelAbstractions.jl'</b> to solve a single initial condition. |
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Why not directly use the markdown syntax?
| ## Writing the Kernel | ||
| Define a kernel using <b>'@kernel'</b> from <b>'KernelAbstractions.jl'</b> to solve a single initial condition. | ||
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| ```@example kenel |
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To ensure the consistency of example environment, here should be kernel
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Is any change required in the tutorial content?? |
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| ### Prerequisites | ||
| Ensure the following packages are installed: | ||
| - Julia (v1.6 or later) |
| # Threaded CPU | ||
| vectorized_solve(prob, SimpleNewtonRaphson(); backend = CPU()) | ||
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| # AMD ROCM GPU | ||
| vectorized_solve(prob, SimpleNewtonRaphson(); backend = ROCBackend()) | ||
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| # NVIDIA CUDA GPU | ||
| vectorized_solve(prob, SimpleNewtonRaphson(); backend = CUDABackend()) |
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Comment out the ones that can't be run on the server
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Use a filename that is consistent with the other files |
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| # Using SimpleNonlinearSolve with KernelAbstractions.jl | |||
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Using Nonlinear Solvers inside GPU Kernels
Changed the name you suggested |
| # Threaded CPU | ||
| # vectorized_solve(prob, SimpleNewtonRaphson(); backend = CPU()) | ||
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| # AMD ROCM GPU | ||
| # vectorized_solve(prob, SimpleNewtonRaphson(); backend = ROCBackend()) | ||
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| # NVIDIA CUDA GPU | ||
| # vectorized_solve(prob, SimpleNewtonRaphson(); backend = CUDABackend()) |
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Doc build is failing |
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Is there any syntax issue in the documentation. Ideally it shouldn't happen |
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You can check the failure https://github.com/SciML/NonlinearSolve.jl/actions/runs/8947164779/job/24579133735?pr=423. In any case, you should be running the code locally before pushing it. |
Sure! Some packages are not installed in the dev while running the code. Also the backend servers are not defined. I'll make the changes soon. |
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