What award did the scholar who wrote HW/SW codesign techniques for dynamically reconfigurable architectures win in 2021?
HPDC Achievement Award
Aislan Gomide Foina et al.: Player Tracker - a tool to analyze sport players using RFID. (2010) authored by Rosa M. Badia. Javier Conejero et al.: Boosting Atmospheric Dust Forecast with PyCOMPSs. (2018) authored by Rosa M. Badia. Rosa M. Badia is the alternative name for Rosa. M. Badia. Rosa Mar<unk>a Pérez Badia. Rosa M. Badia is the alternative name for Rosa M. Badia. (2015) authored by Rosa M. Badia. Pieter Bellens et al.: Parallel Implementation of the Integral Histogram. (2011) authored by Rosa M. Badia. Rosa M. Badia alternative name is Badia Rm. Riccardo Cantini et al.: A Parallel Dynamic Asynchronous Framework for Docker with COMP Superscalar. (2019) authored by Rosa M. Badia. Javier <unk>lvarez Cid-Fuentes et al.: A Study of Checkpointing in Large Scale Training of Deep Neural Networks. (2019) authored by Rosa M. Badia. Rosa M. Badia's alternative name is "R. M. Badia" and she is the author of "Uncertainty Quantification by Hierarchical Monte Carlo Algorithms.". (2021).
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Question: What award did the scholar who wrote HW/SW codesign techniques for dynamically reconfigurable architectures win in 2021?
Context: Aislan Gomide Foina et al.: Player Tracker - a tool to analyze sport players using RFID. (2010) authored by Rosa M. Badia. Javier Conejero et al.: Boosting Atmospheric Dust Forecast with PyCOMPSs. (2018) authored by Rosa M. Badia. Rosa M. Badia is the alternative name for Rosa. M. Badia. Rosa Mar<unk>a Pérez Badia. Rosa M. Badia is the alternative name for Rosa M. Badia. (2015) authored by Rosa M. Badia. Pieter Bellens et al.: Parallel Implementation of the Integral Histogram. (2011) authored by Rosa M. Badia. Rosa M. Badia alternative name is Badia Rm. Riccardo Cantini et al.: A Parallel Dynamic Asynchronous Framework for Docker with COMP Superscalar. (2019) authored by Rosa M. Badia. Javier <unk>lvarez Cid-Fuentes et al.: A Study of Checkpointing in Large Scale Training of Deep Neural Networks. (2019) authored by Rosa M. Badia. Rosa M. Badia's alternative name is "R. M. Badia" and she is the author of "Uncertainty Quantification by Hierarchical Monte Carlo Algorithms.". (2021).
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