Rosa M Badia

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