Prof. Boyd’s talk focused on two extremes: real-time embedded convexoptimization, and distributed convex optimization. For the first one, codegeneration can be used to generate extremely efficient and reliable solvers forsmall problems, which can execute in milliseconds or microseconds, and areideal for embedding in real-time systems. At the other extreme, Prof. Boyeddescribed methods for large-scale distributed optimization, which coordinatemany solvers to solve large problems. Prof. Boyd’s talk is open, humorous,informative, and inspiring. The large crowd at the seminar includes faculty members from as for as Nanjing. In addition, the Audience was also treated with some aspiring insightson how toconduct high-quality research and how to become a real scholar.