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A Data-Centric Optimization Workflow for the Python Language

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Author's main publications:

  • Alexandros Nikolaos Ziogas, Grzegorz Kwasniewski, Tal Ben-Nun, Timo Schneider, and Torsten Hoefler. 2022. Deinsum: Practically I/O Optimal Multilinear Algebra. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC’22), link.
  • Alexandros Nikolaos Ziogas, Timo Schneider, Tal Ben-Nun, Alexandru Calotoiu, Tiziano De Matteis, Johannes de Fine Licht, Luca Lavarini, and Torsten Hoefler. 2021. Productivity, Portability, Performance: Data-Centric Python. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC’21), link.
  • Alexandros Nikolaos Ziogas, Tal Ben-Nun, Timo Schneider, and Torsten Hoefler. 2021. NPBench: A Benchmarking Suite for High-Performance NumPy. In Proceedings of the ACM International Conference on Supercomputing (ICS21), link.
  • Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández, Timo Schneider, Mathieu Luisier, and Torsten Hoefler. 2019. A Data-Centric Approach to Extreme-Scale Ab Initio Dissipative Quantum Transport Simulations. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC’19), link.
  • Alexandros Nikolaos Ziogas, Tal Ben-Nun, Guillermo Indalecio Fernández, Timo Schneider, Mathieu Luisier, and Torsten Hoefler. 2019. Optimizing the Data Movement in Quantum Transport Simulations via Data-Centric Parallel Programming. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC’19), link.

Other important publications:

  • Tal Ben-Nun, Johannes de Fine Licht, Alexandros Nikolaos Ziogas, Timo Schneider, and Torsten Hoefler. 2019. Stateful Dataflow Multigraphs: A Data-Centric Model for Performance Portability on Heterogeneous Architectures. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC’19), link.

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