Overview of recent research in the field of selection of optimal sequences of optimization passes using ML

Now the sequence of optimization passes is chosen with the help of peer review by the compiler developers using a certain set of benchmarks. This is a very difficult task and a huge search space that ML can help with. Roman and Maria will consider approaches to solving this problem. They will make reviews of research papers and the tools and models used, describing their advantages and disadvantages. They will also show what practical results are achievable using machine learning to select the optimal sequence of optimization passes.