Explore the complexities of macroplacement in chip design, where memory blocks and standard cells must be strategically arranged under critical constraints like power and performance. Traditional methods like simulated annealing fall short due to costly evaluations, but Bayesian optimization emerges as a sophisticated alternative, offering a more efficient approach to tackling these challenges.
