Jian Weng
Assistant Professor at KAUST (King Abdullah University of Science and Technology)
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolJian Weng is an Assistant Professor at KAUST with 12 years of experience at the intersection of computer architecture, compiler techniques, and software/hardware co-design. He holds a PhD from UCLA and a BS from Shanghai Jiao Tong University, and his work spans architectural modeling, RTL implementation, and heterogeneous accelerator compilation. Jian has industrial experience from two AWS applied-scientist internships and contributed notable back-end engineering to the widely used Apache TVM compiler, improving its prefetch scheduling and storage passes. He recruits and mentors students interested in full-stack co-design and actively translates research prototypes into practical compiler and RTL solutions. Based in Los Angeles, he blends rigorous academic research with hands-on systems engineering and a track record of shipping compiler features used by the ML accelerator community.
12 years of coding experience
1 year of employment as a software developer
博士, Computer Science, 博士, Computer Science at 美国加州大学洛杉矶分校学士, 计算机科学与技术（交大ACM班）, 学士, 计算机科学与技术（交大ACM班） at 上海交通大学
Chinese, Chinese
Github Skills (11)
tvm10
compiler10
deeplearning-ai10
c-language10
compiler-compiler10
deep-learning10
cprogramming-language10
prefetch10
optimization9
gpu9
machine-learning8
Programming languages (13)
Github contributions (5)
apache/tvm
Jul 2017 - Nov 2019
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Role in this project:
Back-end Developer & Compiler Engineer
Back-end Developer & Compiler EngineerContributions:27 commits, 30 PRs, 181 comments in 2 years 4 months
Contributions summary:Jian's commits primarily focused on enhancing the prefetch scheduling within the TVM compiler. Their contributions involved adding prefetch interfaces, modifying prefetch-related code, and integrating prefetch functionality into the storage flattening and domain touched passes. The user implemented testing, code style improvements, and addressed various bug fixes to ensure the correct functioning of the prefetch mechanism, which is a core component of the compiler stack.
metalvulkancompilertensoropencl
PolyArch/dsa-apps
Aug 2017 - Sep 2022
Contributions:272 commits, 6 PRs, 16 pushes in 5 years 2 months
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