v3.0.0 release
Improved cmake files for spack build
Improved TLA algorithms for tuning across machines and/or node counts
Updated FAQ
Improved cGP interfaces
Improved historyDB functions for shared-memory parallel sampling and RCI
Added programmable APIs and examples, improved sensitivity analysis
Added support for non-equal samples sizes when Model_GPy_LCM is used -> improved TLA and GPTuneBand algorithms
Tested RCI for Perlmutter, added a few more GPU tuning examples
Added an env GPTUNE_LITE_MODE for installing and running GPTune. The lite mode removes dependencies on openturns, pygmo and openmpi>4.0.
Added SearchSciPy and SearchPyMoo for the searcher classes
Added kernel types when Model_GPy_LCM is used