CS 259 - Architecture and Systems for Neural Rendering
Graduate course, University of California, Los Angeles, 2026
Taught in the spring quarter.
Graduate course, University of California, Los Angeles, 2026
Taught in the spring quarter.
Undergraduate course, University of California, Los Angeles, 2026
Taught in the winter quarter. The course covers the fundamentals of computer architecture, from instruction sets and pipelining to memory hierarchies.
Graduate course, University of California, Los Angeles, 2025
Taught in the fall quarter. The course takes students to the research frontier of GPU design, including modern tensor-core architecture: the Tensor Memory Accelerator (TMA), structured sparsity, and warp-group matrix-multiply-accumulate (WGMMA) instructions. Students study these features on a full tensor-GPU stack built on Vortex, which they can read, modify, and measure end to end.
Intermediate-level Course, Georgia Institute of Technology, 2023
It is a project-driven course teaching the principles of hardware design tailored towards modern CPU and GPU implementations. The course also introduces students to the RISC-V ISA and FPGA development, with practical lab experiments to learn about Verilog RTL design and high-level synthesis.
Intermediate-level Course, Georgia Institute of Technology, 2022
It is a project-driven course teaching the principles of hardware design tailored towards modern CPU and GPU implementations. The course also introduces students to the RISC-V ISA and FPGA development, with practical lab experiments to learn about Verilog RTL design and high-level synthesis.
Graduate course, Georgia Institute of Technology, 2018
Lead teaching assistant, with several guest lectures. The course covers the basic principles of parallel programming using CUDA and OpenCL, and introduces students to advanced microarchitecture concepts unique to single-instruction multiple-thread (SIMT) processors.