v0.1.0

ParallelParticleSwarms v0.1.0

Merged pull requests:

• Implement basic GPU Particle Swarm (#1) (@utkarsh530)
• Add asynchronous particle swarm algorithm (#8) (@utkarsh530)
• [WIP]Some restructuring and API changes (#9) (@Vaibhavdixit02)
• [WIP] Basic non-bounded case initialization (#12) (@Vaibhavdixit02)
• Start implementation of sync PSO on GPU (#17) (@utkarsh530)
• Add parallel ODE parameter estimation with PSO (#18) (@utkarsh530)
• Add examples for ODE parameter estimation (#19) (@utkarsh530)
• Add basic iris NN example (#23) (@Vaibhavdixit02)
• Fix GPU parallelization (#24) (@utkarsh530)
• Initialize unify and use LHS (#26) (@Vaibhavdixit02)
• Switch to KernelAbstractions (#28) (@jpsamaroo)
• Use penalty method for constrained optimization (#33) (@Vaibhavdixit02)
• Towards cleaner and modular internals in the code (#34) (@utkarsh530)
• lbfgs (#35) (@Vaibhavdixit02)
• Append solve time in solution interface (#36) (@utkarsh530)
• ParallelPSOKernel: Do proper locking (#37) (@jpsamaroo)
• Update Hybrid API and misc cleanups (#38) (@utkarsh530)
• Update ParallelSyncPSO to use Shared Memory (#39) (@utkarsh530)
• [WIP] Add benchmark scripts (#40) (@utkarsh530)
• Fix queue lock algorithm for ParallelPSOKernel (#42) (@utkarsh530)
• Update solvers to run CPUs as well (#43) (@utkarsh530)
• [WIP] Add more benchmarks (#44) (@utkarsh530)
• Start towards caching and perf optimizations (#45) (@utkarsh530)
• Prepare the package for release (#50) (@utkarsh530)
• Rename PSOGPU->ParallelParticleSwarms (#51) (@utkarsh530)

Closed issues:

• Asynchronous Particle Swarm (#2)
• Resolve race condition in synchronous Particle Swarm (#3)
• Parallel-reduce Particle Swarm (#5)
• Connections of PSO with Multi-start optimization algorithms (#7)
• Use extensions for different backends (#10)
• Implement initialization of particles when upper and lower bounds are not given (#11)
• Explore quasi-monte carlo initialization (#13)