Koby Hayashi

  • Program Years: 2019-2023
  • Academic Institution: Georgia Institute of Technology
  • Field of Study: Computer Science
  • Academic Advisor: Haesun Park
  • Practicum(s):
    Lawrence Berkeley National Laboratory (2021)
    Lawrence Berkeley National Laboratory (2022)
  • Degree(s):
    M.S. Computer Science, Wake Forest University, 2018; B.S. Computer Science, Wake Forest University, 2016

Current Status

  • Research Area: Computer Science

Publications

Srinivas Eswar, Benn Cobb, Koby Hayashi, Ramakrishnan Kannan, Grey Ballard, Richard Vuduc, Haesun Park. "Distributed-Memory Parallel JointNMF" to appear, International Conference on Supercomputing 2023 (ICS23)

Koby Hayashi, Sinan G. Aksoy, and Haesun Park. "Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs." arXiv e-prints (2022): arXiv-2203. IEEE BigData 2022, Japan.

PLANC: Parallel Low Rank Approximation with Nonnegativity Constraints. Srinivas Eswar*, Koby Hayashi*, Grey Ballard, Ramakrishnan Kannan, Michael A. Matheson, and Haesun Park. ACM Transactions on Mathematical Software (TOMS). 2021. (*Co-First Authors)

Distributed-Memory Parallel Symmetric Nonnegative Matrix Factorization. Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Haesun Park, and Richard Vuduc. In Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis (SC). 2020

Koby Hayashi, Sinan G. Aksoy, Cheong Hee Park, and Haesun Park. 2020. Hypergraph Random Walks, Laplacians, and Clustering. The 29th ACM International Conference on Information and Knowledge Management (CIKM'20), October 19-23, 2020, Virtual Event, Ireland. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/33405331.3412034

Parallel Nonnegative CP Decomposition of Dense Tensors. 25th IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2018, Grey Ballard, Koby Hayashi, Ramakrishnan Kannan (All authors contributed equally)

Shared Memory Parallelization of MTTKRP for Dense Tensors. Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP'18, ACM, New York, NY, USA, pp. 393-394, 2018, Koby Hayashi, Grey Ballard, Yuijie Jiang, and Michael Tobia (Extended Abstract)

Dynamic functional connectivity and individual differences in emotions during social stress. Journal of Human Brain Mapping, 2017 doi:10.1002/hbm.2382, Michael Tobia, Koby Hayashi, Grey Ballard, Christian Waugh, and Ian Gotlib

Awards

UPE Computer Science Honors Society. Wake Forest Chapter.

Graduated with Honors in Computer Science, Wake Forest University 2016.
Magna Cum Laude, Wake Forest University 2016.