Advanced multiprocessor architecture

Summary

Multiprocessors are basic building blocks for all computer systems. This course covers the architecture and organization of modern multiprocessors, prevalent accelerators (e.g., GPU, TPU), and datacenters. It includes a research project on multiprocessors and post-Moore era datacenters.

Content

Learning Prerequisites

Recommended courses

• Advanced computer architecture
• Systems for data management and data science

Learning Outcomes

• Explore the development trend of computation systems and datacenters
• Establish the basic model to analyze the performance and characteristics of foundational workloads operating in cloud environments.
• Classify and describe the components of modern parallel systems, including multiple processors, cache hierarchies, memory systems, interconnects, and accelerators, and their roles in handling emerging workloads
• Define and clarify research questions and opportunities
• Interpret and critique research papers and extract insights for research questions
• Plan and conduct a research project
• Present research contributions

Teaching methods

Lecture, research paper retrieval, and a research project

Assessment methods

• Homework: 10%
• Research project (in group): 40%
• Midterm exam: 20%
• Final exam: 30%

Resources

Websites

• https://parsa.epfl.ch/course-info/cs471/