Course Websites

Subject offerings of new and developing areas of knowledge in electrical and computer engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: 0 to 4 undergraduate hours. 0 to 4 graduate hours. May be repeated in the same or separate terms if topics vary.

Modern artificial intelligence workloads are reshaping computer architecture and computing systems. In this course, we will study the development of GPUs, NPUs, domain-specific accelerators, high-bandwidth memory systems, specialized interconnects, and warehouse-scale infrastructure for AI. This course builds on concepts in traditional computer architecture to examine the hardware and systems that enable modern AI, with emphasis on hands-on experimentation, quantitative analysis, and hardware-software co-design. Students complete an open-ended final project exploring a topic in GPU, accelerator, or systems design for AI.