Advanced Topics in Computer Engineering: Domain-specific computer systems architecture

The course explores computing's evolving landscape, highlighting the interplay among hardware accelerators, software, and domain-specific needs. It covers key trends like Moore's Law, Amdahl's law and energy efficiency challenges. It dives into the vast platform landscape - CPUs, GPUs, CGRAs, FPGAs, ASICs (TPUs), distributed systems, and their roles in accelerating applications in AI, genomics, etc. Through case-study led lectures, and capstone projects, students gain the skills to design, analyze, and implement efficient algorithms and systems tailored to specific domains with an understanding of performance and benchmarking.