Hanran Wu
Graduate Research Assistant - GPU Architecture
Atlanta, Georgia, United States
Summary
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Rockstar🎓
Top SchoolHanran Wu is a GPU-focused computer architect and systems engineer with six years of hands-on experience spanning GPU architecture, embedded robotics, and supply-chain software. Currently pursuing an MS in Computer Science at Georgia Tech, Hanran developed virtual memory for a RISC-V-based GPU in C++ and SystemVerilog and benchmarked OpenCL workloads on cycle-level and FPGA simulations. Past internships at NVIDIA and Samsung Semiconductor complement research on RL-driven legged locomotion (ICRA 2024) and energy-aware GNN quantization that cut inference energy by 30% with minimal accuracy loss. Equally comfortable in low-level RTL and high-level system design, Hanran has shipped practical tooling—such as a Python MVC GUI and Dockerized CI/CD pipelines—that boosted manufacturing efficiency and developer productivity. Known for bridging academia and industry, he combines FPGA deployments, compiler exploration (LLVM/RISC-V GCC), and open-source robot control code to accelerate prototyping and reproducible research. Always eager for hard problems, he focuses on large-scale and edge intelligence with a curiosity for physical simulation and memory-system tradeoffs.
6 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of TechnologyHigh School Diploma, High School Diploma at Guangzhou Foreign Language School
English, Chinese, Chinese, French
Stackoverflow
1reputation
0reached
0answers
0questions
Programming languages (1)
Github contributions (5)
mranduril/mranduril.github.io
Jun 2023 - Sep 2024
Contributions:35 pushes in 1 year 3 months
mranduril/AR-Operation-Assist
Jun 2023 - Aug 2023
Contributions:39 pushes, 1 branch in 1 month
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