The foundation of PanDA's architecture, design, concepts, implementation, and operational insights is supported by an array of peer-reviewed publications, encompassing both journal articles and conference proceedings.
Tadashi Maeno, Aleksandr Alekseev, Fernando Harald Barreiro Megino, Kaushik De, Wen Guan, Edward Karavakis, Alexei Klimentov, Tatiana Korchuganova, FaHui Lin, Paul Nilsson, Torre Wenaus, Zhaoyu Yang and Xin Zhao
PanDA: Production and Distributed Analysis System
Maeno, T. et al., PanDA: Production and Distributed Analysis System, Comput Softw Big Sci 8, 4 (2024)
https://doi.org/10.1007/s41781-024-00114-3
@article{panda2023, author = {{Maeno}, Tadashi and {Alekseev}, Aleksandr and {Barreiro Megino}, Fernando Harald and {De}, Kaushik and {Guan}, Wen and {Karavakis}, Edward and {Klimentov}, Alexei and {Korchuganova}, Tatiana and {Lin}, FaHui and {Nilsson}, Paul and {Wenaus}, Torre and {Yang}, Zhaoyu and {Zhao}, Xin}, title = "PanDA: Production and Distributed Analysis System", journal = "Computing and Software for Big Science", volume = "8", year = "2024", month = "01", day = "23", issn = "2510-2044", doi = "10.1007/s41781-024-00114-3", url = "https://doi.org/10.1007/s41781-024-00114-3", publisher = "Springer International Publishing" }
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