Performance challenges arise when a single CPU can't handle extensive computations, necessitating the use of parallel algorithms. Alex highlights the complexity of adapting sorting algorithms for parallel processing, while Michael emphasizes the importance of concurrency to maximize CPU efficiency during I/O waits. Together, they explore how to effectively utilize multiple CPUs to enhance both performance and scalability in software applications.
