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GPU accelerated Particle Swarm Optimization

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SciML/ParallelParticleSwarms.jl

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CIBuild statuscodecovColPrac: Contributor's Guide on Collaborative Practices for Community PackagesSciML Code Style

Accelerating convex/non-convex optimization with GPUs using Particle-Swarm based methods.

Supports Julia's generic SciML interface.

using ParallelParticleSwarms, StaticArrays, CUDAlb=@SArray [-1.0f0,-1.0f0,-1.0f0]ub=@SArray [10.0f0,10.0f0,10.0f0]functionrosenbrock(x, p)sum(p[2]* (x[i+1]- x[i]^2)^2+ (p[1]- x[i])^2for iin1:(length(x)-1))endx0=@SArrayzeros(Float32,3)p=@SArray Float32[1.0,100.0]prob=OptimizationProblem(rosenbrock, x0, p; lb= lb, ub= ub)sol=solve(prob,ParallelSyncPSOKernel(1000, backend= CUDA.CUDABackend()),    maxiters=500)

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