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2019

MuGVRE. A virtual research environment for 3D/4D genomics

Biorxiv

L. Codó, G. Bayarri, J. Álvarez Cid-Fuentes, J. Conejero, A. Hospital, R. Royo, D. Repchevsky, M. Pasi, M. D. McDowall, F. Serra, R. M. Badia, M. Orozco, and J L.. Gelpi
Energy-aware Self-Adaptation for Application Execution on Heterogeneous Parallel Architectures

IEEE Transactions on Sustainable Computing

R. Kavanagh, K. Djemame, J. Ejarque, R. M. Badia, and D. Garcia-Perez
Training Deep Neural Networks with Low Precision Input Data: A Hurricane Prediction Case Study

Lecture Notes in Computer Science High Performance Computing

A. Kahira, L. Bautista Gomez, and R. M. Badia
Heterogeneous Hierarchical Workflow Composition

Computing in Science & Engineering

O. Yildiz, J. Ejarque, H. Chan, S. Sankaranarayanan, R. M. Badia, and T. Peterka
A hierarchic task-based programming model for distributed heterogeneous computing

The International Journal of High Performance Computing Applications

J. Ejarque, M. Domínguez, and R. M. Badia
BIGSEA: A Big Data analytics platform for public transportation information

Future Generation Computer Systems

A. S. Alic, J. Almeida, G. Aloisio, N. Andrade, N. Antunes, D. Ardagna, R. M. Badia, T. Basso, I. Blanquer, T. Braz, A. Brito, D. Elia, S. Fiore, D. Guedes, M. Lattuada, D. Lezzi, M. Maciel, W. Meira, D. Mestre, R. Moraes, F. Morais, C. Eduardo Pires, N. P. Kozievitch, W. dos Santos, P. Silva, and M. Vieira
On the maturity of parallel applications for asymmetric multi-core processors

Journal of Parallel and Distributed Computing

K. Chronaki, M. Moreto, M. Casas, A. Rico, R. M. Badia, E. Ayguadé, and M. Valero

2018

AutoParallel: A Python module for automatic parallelization and distributed execution of affine loop nests

8th Workshop on Python for High-Performance and Scientific Computing (PyHPC 2018)

C. Ramon-Cortes, R. Amela, J. Ejarque, P. Clauss, and R. M. Badia
Boosting Atmospheric Dust Forecast with PyCOMPSs

2018 IEEE 14th International Conference on e-Science (e-Science)

J. Conejero, C. Ramon-Cortes, K. Serradell, and R. M. Badia
Executing linear algebra kernels in heterogeneous distributed infrastructures with PyCOMPSs

Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles

R. Amela, C. Ramon-Cortes, J. Ejarque, J. Conejero, and R. M. Badia

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