We streamline and extend APlace, the general analytic placement engine based on ideas of Naylor et al. [7] and described in [3, 4, 5]. Previous work explored the adaptability of APlace to multiple contexts with good quality of results. For example, the framework was extended to traditional wirelength-driven standard-cell placement in [3, 5], achieving good results in placed HPWL and routed final wire-length. The framework was also extended to top-down multilevel placement, congestion-directed placement, mixed-size placement, timing-driven placement, I/O-core co-placement and constraint handling for mixed-signal contexts [3, 4, 5]. In this work, we have modified the implementation of APlace for speed and scalability. Improvements have been made in clustering, legalization and detailed placement strategies, as well as via a distributable solution framework for both global and detailed placement phases.