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About Me

Here is Tianyu Feng (Tim, 冯天昱).

I am a second year master student majoring in Computer Science at HiPO Group in Beihang University (BUAA; formerly known as Beijing University of Aeronautics and Astronautics), advised by Prof. Hailong Yang.

I would always be happy to collaborate! Email me at - tian[dot]yu[dot]feng[at]outlook[dot]com

Academic Background

  • Sep 2022 - Dec 2024 (Expected): Beihang University (BUAA) (MEng, CS) (计算机科学与技术, 学术型硕士)
    • GPA: 3.88 / 4.0, Rank: 18 / 293 (Top 6%)
  • Sep 2018 - June 2022: Beihang University (BUAA) (BEng, CS) (计算机科学与技术, 工学学士)
    • GPA: 92.81 / 100, Rank: 4 / 195 (Top 2%)

Research Interests

  • High Performance Computing: including sparse computing, scientific computing application optimization and stencil.
  • Machine Learning Systems (MLSys): including training, inference and model serving systems.
  • Parallel Computing: including CPU, GPU and other many-core processors.
  • Performance Analysis Tools: large-scale performance analysis of programs running among up to thousands of nodes.

My research interests mainly cover traditional high performance computing and machine learning systems. Currently, I’m focusing on optimizing machine learning systems from multiple perspective including kernels, data placement and scheduling. I’m also working on exploiting sparsity in various computing workloads including AI and HPC on many-core and heterogeneous systems. The ultimate goal is to shorten computing time of solving significant real world problems.

News and Updates

  • March 2024: 🔥 One work (AtRec [source code]) is accepted by IEEE Transactions on Parallel and Distributed Systems (TPDS). Great thanks to my advisor Hailong Yang and my excellent collaborator Siqi Wang!
  • Sep 2023: Awarded First Prize of Beihang School of Computer Science and Engineering Academics Scholarship.
  • Aug 2023: Our team won Third Prize in SolverChallenge23. Thanks to my advisor Hailong Yang and my teammate Kelun Lei.
  • Dec 2022: Our team won Second Prize (rank 2/45) in Tianchi Competition: DeepRec CTR Model Performance Optimization. Thanks to my teammate Siqi Wang!
  • Oct 2022: Awarded National Scholarship.
  • Sep 2022: Awarded First Prize of Beihang School of Computer Science and Engineering Academics Scholarship.
  • Nov 2021: dgQuEST was selected as the best paper in NPC 2021!
  • Sep 2021: One work (dgQuEST [source code]) was accepted by NPC 2021. Great thanks to my advisor Hailong Yang and Xin You!
  • May 2021: Our team won First Prize and Application Innovation Award (highest score in quantum circuit simulation) in ASC20-21. Great thanks to my teammates Siyan Chen, Quqi Liu, Jiwei Hao, Chun Cai and our advisor Hailong Yang!

Programming Languages, Frameworks and Other Skills

  • Programming/Script Languages: C/C++, Python, Bash, Rust (preliminary)
  • Parallel Programming Models: MPI, OpenMP, CUDA
  • Utilities/Systems/Tools: Git, Docker, Linux, CMake, Spack
  • AI/ML Frameworks: PyTorch, TensorFlow, LangChain (working on it)
  • Widely Used Libraries: glog, protobuf, grpc, numpy, pandas, etc.