I design combinatorial algorithms and methods for reducing communication overhead of parallel scientific and machine learning applications running on HPC systems.

[Google Scholar] [DBLP] [ORCID] [WoS]

Publications

Journal Articles

  • Nabil Abubaker, M. Ozan Karsavuran and Cevdet Aykanat, “Scalable Unsupervised ML: Latency Hiding in Distributed Sparse Tensor Decomposition”, IEEE Transactions on Parallel and Distributed Systems, Accepted. [DOI] [PDF]
  • Nabil Abubaker, Seher Acer and Cevdet Aykanat, “True Load Balancing for Matricized Tensor Times Khatri-Rao Product”, IEEE Transactions on Parallel and Distributed Systems, 32 (8), 1974-1986, 2021. [DOI] [PDF]
  • Nabil Abubaker, Kadir Akbudak and Cevdet Aykanat, “Spatiotemporal Graph and Hypergraph Partitioning Models for Sparse Matrix-Vector Multiplication on Many-Core Architectures”, IEEE Transactions on Parallel and Distributed Systems, 30 (2), 445-458, 2019. [DOI] [PDF]

Conference/Workshop Papers

  • Nabil Abubaker, Leonard Dervishi and Erman Ayday,”Privacy-Preserving Fog Computing Paradigm”, IEEE Conference on Communications and Network Security (CNS) 2017. [DOI] [PDF]

Theses & Projects