Progress of Placement Optimization for Accelerating VLSI Physical Design

Placement is essential in very large-scale integration (VLSI) physical design, as it directly affects the design cycle. Despite extensive prior research on placement, achieving fast and efficient placement remains challenging because of increasing complexity. In this paper, we comprehensively review progress optimization from perspective accelerating VLSI design. It can help researchers systematically understand problem corresponding means, thereby advancing modern research. We highlight emerging trends placement-centric flows, including optimizers learning-based predictors. first define classical algorithms, then discuss application bottleneck algorithms advanced technology nodes give solutions. After that, introduce development optimizers, algorithm improvements computational acceleration, pointing out that these two aspects will jointly promote also present working predictors various angles. Finally, common individual challenges encountered by