About Me
I am Mengdi Wu (吴梦迪), a third-year Ph.D. student in the Computer Science Department at Carnegie Mellon University, advised by Zhihao Jia. I received my undergraduate degree from the Yao Class at Tsinghua University in 2023. I am honored to be supported by the Amazon Fellowship for my research.
I work on machine learning systems, with a focus on ML compilers and superoptimization. I am interested in understanding the computational structure of machine learning applications and developing techniques to make them more efficient and reliable.
Research Experience
| 2022.02~2022.08 | I visited CMU as a research intern, where I worked with Zhihao Jia on accelerating distributed DL training. |
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| 2020.11~2021.11 | I joined ARChip Lab led by Kaisheng Ma at Tsinghua University, and worked on designing architectures and schedulers for DNN accelerators. |
Awards
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National Student Computer System Capability Challenge 2020 (Compiler track), 2nd Price [Cutepiler]
With Jiatu Li, Runda Liu, and Zhidong Wang.
- National Olympiad in Informatics, China, Gold Medal