Yihan Sun
Yihan Sun (Chinese: 孙艺瀚) is a computer scientist currently working in the Department of Computer Science and Engineering at the University of California, Riverside as an assistant professor. She received her Bachelor's degree from Tsinghua University in 2014, and Ph.D. from Carnegie Mellon University in 2019, both in Computer Science.
Yihan Sun | |
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Born | 1992 (age 28–29) |
Alma mater | Tsinghua University, Carnegie Mellon University |
Spouse(s) | Yan Gu |
Scientific career | |
Fields | Computer science, Algorithms and Parallel Computing |
Institutions | University of California, Riverside |
Thesis | Join-based Parallel Balanced Binary Trees (2018) |
Doctoral advisor | Guy Blelloch |
Website | www |
Yihan Sun's research interests are mainly in algorithm and data structure design in parallel computing. Her thesis work proposed Join-based tree algorithms, which is an algorithmic framework for designing parallel balanced binary search tree algorithms.[1] She also developed the PAM library based on the Join-based tree algorithms, which is a parallel library for ordered sets and maps.[2] She has also worked on parallel computational models such as the binary-forking model,[3] and other parallel algorithms.
References
- Blelloch, Guy E.; Ferizovic, Daniel; Sun, Yihan (11 July 2016). "Just Join for Parallel Ordered Sets". Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures. Association for Computing Machinery: 253–264. arXiv:1602.02120. doi:10.1145/2935764.2935768.
- Sun, Yihan; Ferizovic, Daniel; Belloch, Guy E. (10 February 2018). "PAM: parallel augmented maps". ACM SIGPLAN Notices. 53 (1): 290–304. doi:10.1145/3200691.3178509. ISSN 0362-1340.
- Blelloch, Guy E.; Fineman, Jeremy T.; Gu, Yan; Sun, Yihan (6 July 2020). "Optimal Parallel Algorithms in the Binary-Forking Model". Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures. Association for Computing Machinery: 89–102. doi:10.1145/3350755.3400227.
External links
- Yihan Sun publications indexed by Google Scholar