Introduction to Multiprocessor Architecture

This lecture introduces the fundamentals of multiprocessor architecture, focusing on datacenters, supercomputers, and sustainable computing. The instructor discusses their research on post-Moore servers and the challenges of designing energy-efficient servers. They also explore the environmental impact of training AI models. The lecture covers the course structure, schedule, and academic integrity guidelines. Topics include parallel programming, high-level languages, computer architecture, and programming assignments. The instructor emphasizes the importance of understanding cache coherence, memory ordering, and synchronization in multiprocessor systems. The lecture concludes with an overview of modern processors, parallelism in smartphones, and deep learning applications.