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2021

2019

Heterogeneous Hierarchical Workflow Composition

Computing in Science & Engineering

O. Yildiz, J. Ejarque, H. Chan, S. Sankaranarayanan, R. M. Badia, and T. Peterka
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
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

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
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
Towards an Energy-Aware Framework for Application Development and Execution in Heterogeneous Parallel Architectures

Hardware Accelerators in Data Centers

K. Djemame, R. Kavanagh, V. Kelefouras, A. Aguilà, J. Ejarque, R. M. Badia, D. García Pérez, C. Pezuela, J-C. Deprez, L. Guedria, R. De Landtsheer, and Y. Georgiou
Transparent Orchestration of Task-based Parallel Applications in Containers Platforms

Journal of Grid Computing

C. Ramon-Cortes, A. Serven, J. Ejarque, D. Lezzi, and R. M. Badia
Dynamic energy-aware scheduling for parallel task-based application in cloud computing

Future Generation Computer Systems

F. Juarez, J. Ejarque, and R. M. Badia

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