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2020 – today
- 2024
[i2]Sergio Demian Lerner, Ramon Amela, Shreemoy Mishra, Martin Jonas, Javier Álvarez Cid-Fuentes:
BitVMX: A CPU for Universal Computation on Bitcoin. CoRR abs/2405.06842 (2024)- 2021
- [j3]Riccardo Tosi, Ramon Amela, Rosa M. Badia, Riccardo Rossi:
A Parallel Dynamic Asynchronous Framework for Uncertainty Quantification by Hierarchical Monte Carlo Algorithms. J. Sci. Comput. 89(1): 28 (2021) - 2020
- [j2]Javier Álvarez Cid-Fuentes
, Pol Álvarez, Ramon Amela, Kuninori Ishii, Rafael K. Morizawa, Rosa M. Badia:
Efficient development of high performance data analytics in Python. Future Gener. Comput. Syst. 111: 570-581 (2020) - [j1]Cristian Ramon-Cortes, Ramon Amela, Jorge Ejarque, Philippe Clauss, Rosa M. Badia:
AutoParallel: Automatic parallelisation and distributed execution of affine loop nests in Python. Int. J. High Perform. Comput. Appl. 34(6) (2020)
2010 – 2019
- 2018
- [i1]Cristian Ramon-Cortes, Ramon Amela, Jorge Ejarque, Philippe Clauss, Rosa M. Badia:
AutoParallel: A Python module for automatic parallelization and distributed execution of affine loop nests. CoRR abs/1810.11268 (2018) - 2017
- [c1]Ramon Amela, Cristian Ramon-Cortes, Jorge Ejarque, Javier Conejero, Rosa M. Badia:
Enabling Python to execute efficiently in heterogeneous distributed infrastructures with PyCOMPSs. PyHPC@SC 2017: 1:1-1:10
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