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The central focus of my research is the development of computationally optimal parallel, high-performance algorithms, both discrete and continuous, that are efficient and scalable on state-of-the-art architectures. It is driven by applications in biosciences, computational relativity and geophysics, such as cardiovascular mechanics, binary black-hole mergers, and seismic wave propagation. My research has resulted in the development of state-of-the-art distributed algorithms for adaptive mesh refinement, geometric multigrid, fast Gauss transform and sorting.
The central focus of my research is the development of computationally optimal parallel, high-performance algorithms, both discrete and continuous, that are efficient and scalable on state-of-the-art architectures. It is driven by applications in biosciences, computational relativity and geophysics, such as cardiovascular mechanics, binary black-hole mergers, and seismic wave propagation. My research has resulted in the development of state-of-the-art distributed algorithms for adaptive mesh refinement, geometric multigrid, fast Gauss transform and sorting.
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INVERSE PROBLEMSno. 11 (2023): 115009-115009
SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysispp.760-765, (2023)
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LISA Consortium Waveform Working Group,Niaesh Afshordi,Sarp Akçay,Pau Amaro Seoane,Andrea Antonelli,Josu C. Aurrekoetxea,Leor Barack,Enrico Barausse, Robert Benkel, Laura Bernard,Sebastiano Bernuzzi,Emanuele Berti,
arXiv (Cornell University) (2023)
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PROCEEDINGS OF THE 37TH INTERNATIONAL CONFERENCE ON SUPERCOMPUTING, ACM ICS 2023pp.215-226, (2023)
PHYSICAL REVIEW Dno. 6 (2023)
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