Name:Yujia Zhai

Bio:

I am a final-year PhD candidate in Computer Science at University of California, Riverside. Before starting the doctorate journey in CS, I earned MS and BS degrees from Duke University and University of Science and Technology of China, both in Chemistry.

I am currently focusing on performance optimization for math libraries on CPUs, GPUs and heterogeneous platforms. I have interned with the XPU Architecture Research team at Intel Corporation working on GPU-accelerated homomorphic encryption. In 2022 Spring, I have been with the Machine Learning System team at ByteDance US as a Research Intern. In 2022 Summer, I was with the Fast Kernels team at NVIDIA Corporation as an engineering intern, where I will return as a full-time employee after graduation.

Country:United States

Affiliation:University of California Riverside

Research interests:Computer Systems, High-Performance Computing, Computer Architecture, Numerical Linear Algebra, Machine Learning Systems