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2024

Malleability in modern HPC systems: Current experiences, challenges, and future opportunities

IEEE Transactions on Parallel and Distributed Systems

A. Tarraf, M. Schreiber, A. Cascajo, J-B. Besnard, M-A. Vef, D. Huber, S. Happ, A. Brinkmann, D. E. Singh, H-C. Hoppe, A. Miranda, A. J. Pena, R. Machado, M. Garcia-Gasulla, M. Schulz, P. Carpenter, S. Pickartz, T. Rotaru, S. Iserte, V. Lopez, J. Ejarque, H. Sirwani, J. Carretero, and F. Wolf

2022

Automatic, Efficient and Scalable Provenance Registration for FAIR HPC Workflows

2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS)2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS)

R. Sirvent, J. Conejero, F. Lordan, J. Ejarque, L. Rodriguez-Navas, J. M. Fernández, S. Capella-Gutierrez, and R. M. Badia

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

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