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I'm currently a fifth-year Ph.D. candidate at the University of Utah, I specialize in the analysis of floating point behaviors within high-performance systems.I have the fortune to be advised by Prof. Ganesh Gopalakrishnan.
Before this, I earned my Master's in Computer Science at the University of Texas at Dallas under the guidance of Prof. Kyle Fox. I studied on the computational geometric algorithm then and my master thesis is Approximating the Geometric Edit Distance.
I hold a Bachelor of Science degree from the Beijing University of Posts and Telecommunications in the field of Internet of Science.
My research passion lies in understanding numerical behaviors and ensuring numerical correctness, especially in high-performance accelerators like NVIDIA and AMD GPUs. I delve deep into topics such as Floating-point Error and Exception Analysis, High-Performance Computing Binary Instrumentation, Tensor Core Numerical Behavior and Systematic Reverse-Engineering of Numerical Behavior.
My Maser's work also gives me firm grounding in rigorous analysis of algorithms, and CS Theory which helps me approach practical issues and follow the design of intricate numerical algorithms.
I am actively seeking postdoctoral positions and job opportunities where I can further apply and expand upon my expertise in Spring 2024 now!