University of California, Los Angeles 4 credits Computer Science
Lecture, four hours; discussion, two hours; outside study, six hours. Requisite: course M151B. Exploration of design principles, optimization strategies, and emerging trends in graphics processing unit (GPU) microarchitecture. Emphasis on their critical role in artificial intelligence, machine learning, and graphics rendering. Through a blend of theoretical analysis, hands-on projects, and cutting-edge research discussions, study dissects the architectural innovations driving modern GPUs, such as Nvidia’s tensor cores and ray tracing. Leverages the open-source Vortex GPU platform for practical experimentation, enabling students to implement and evaluate microarchitectural concepts in Verilog. Topics include compute/graphics pipelines, memory hierarchies, parallelism, compiler optimizations, and hardware/software codesign. Students propose and execute a research project, supported by curated readings from patents, seminal papers, and industry white papers. Letter grading.
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