Organisation profile
Organisation profile
Our main investigation objectives will address the research and technology challenges of meeting the requirements of next generation Cloud Computing architectures for the efficient execution of compute and data-intensive High Performance Computing services. We have defined four strategic research objectives that correspond with the four architectural layers of HPC for Efficient Applications & Simulation (hpc4eas): Performance and Efficiency in the use of HPC resources, User Availability of HPC Resources, Design and Optimization of HPC Systems for Specific "Workloads" (application-specific domains) and Social Projection Applications. The results of the these research lines will offer a considerable improvement in resource utilization, energy efficiency and cost of current scientific and business infrastructures; will support new provisioning models for computing centres to offer on-demand capacity in order to scale user’s environment and accommodate ongoing growth, and will establish the principals of porting HPC applications to clusters and Clouds.
Directed by:
Remo Suppi Boldrito
Research lines
- Research lines:
- Performance and Efficiency in the use of HPC (High Performance Computing) resources
- Fault tolerance for HPC (High Performance Computing)
- Simulation and optimization of Emergency Services in Hospitals (Smarter Health Services)
- Simulation of Individuals oriented Models
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Collaborations and top research areas from the last five years
Profiles
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Elisa Heymann Pignolo
- Department of Computer Architecture and Operating Systems
- High Performance Computing for Efficient Applications and Simulation
Person: Affiliation to research, Lecturer
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Edixon Alexander Parraga Pinzon
- Department of Computer Architecture and Operating Systems
- High Performance Computing for Efficient Applications and Simulation
Person: Affiliation to research, Substitute lecturer
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Dolores Isabel Rexachs del Rosario
- Department of Computer Architecture and Operating Systems
- High Performance Computing for Efficient Applications and Simulation
Person: Affiliation to research, Professor
Projects
- 1 Finished
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Computación de altas prestaciones eficiente y segura para aplicaciones de servicios de salud inteligentes
Rexachs del Rosario, D. I. (Principal Investigator), Luque Fadon, E. (Co-Investigador/a Principal), Aldo Balladini, J. (Collaborator), DA SILVA BORGES DE SANTANA, F. J. (Collaborator), DE GIUSTI RUBIO, A. E. (Collaborator), Gaudiani, A. A. (Collaborator), Gómez Sánchez, P. (Collaborator), Harita Rascon, M. D. L. A. (Collaborator), Leon, B. (Collaborator), Lopes Bezerra, A. A. (Collaborator), MIGUEL MONTEZANTI, D. (Collaborator), MORAN AQUEVEQUE, M. (Collaborator), Mendez , S. A. (Collaborator), Miller, B. (Collaborator), OMAR ENCINAS, D. (Collaborator), Parraga Pinzon, E. A. (Collaborator), Printista, A. M. (Collaborator), Tirado Maraboli, F. (Collaborator), TISSERA, C. (Collaborator), Wong Gonzalez, A. (Collaborator), Boixader Estevez, F. (Investigator), Enrique Manonellas, G. (Investigator), Epelde Gonzalo, F. D. (Investigator), Bruballa Vilas, E. (Investigator), Heymann Pignolo, E. (Investigator), Martín, M. A. (Investigator), Suppi Boldrito, R. (Investigator), Taboada González, M. (Investigator), VICENTE VILLALBA, A. (Investigator), Galeano Galeano, R. (Collaborator), Rivas, J. (Collaborator), Mariano Trigila (Collaborator), Mariela Rodríguez (Collaborator), Planas Gonzalez, M. (Collaborator), Mesas Cervilla, F. (Collaborator), Albert Orenga, M. À. (Collaborator), Mohsen Hallaj Asghar, M. (Collaborator), Alvarez , A. C. (Collaborator) & Gonzalez Cuevas, A. (Applicant)
1/09/21 → 31/05/25
Project: Research Projects and Other Grants
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Deep learning data handling : exploring file formats and access strategies
Parraga Pinzon, E. A., León, B., Mendez, S., Rexachs del Rosario, D. I., Franco Puntes, D. & Luque, E., 30 Aug 2025, In: Cluster Computing. 28, 23 p., 613.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
Modeling Parallel AI Applications for Performance Analysis on Cloud Environments
Albert, M., Leon, B., Wong, A., Rexachs, D. & Luque, E., 2025, Computational Science – ICCS 2025 - 25th International Conference, 2025, Proceedings. Lees, M. H., Cai, W., Cheong, S. A., Su, Y., Abramson, D., Dongarra, J. J. & Sloot, P. M. A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 216-224 9 p. (Lecture Notes in Computer Science; vol. 15906 LNCS).Research output: Chapter in Book › Chapter › Research › peer-review
Open Access2 Downloads (Pure) -
Parallel I/O analysis in distributed deep learning applications on high-performance computing
Parraga Pinzon, E. A., León, B., Méndez, S. A., Rexachs del Rosario, D. I. & Luque, E., 2025, In: Journal of Supercomputing. 81, 16Research output: Contribution to journal › Article › Research › peer-review
Open Access
Student theses
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Gestión del Almacenamiento para Tolerancia a Fallos en Computación de Altas Prestaciones
Leon Otero, B. D. C. (Author), Franco Puntes, D. (Director) & Rexachs del Rosario, D. I. (Director), 9 Mar 2023Student thesis: Doctoral thesis
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SEDAR: Detección y recuperación automática de fallos transitorios en sistemas de cómputo de altas prestaciones
Montezanti, D. M. (Author), Rexachs del Rosario, D. I. (Director), De Giusti, A. E. (Director), Naiouf, M. (Co-director) & Luque Fadon, E. (Co-director), 18 Mar 2020Student thesis: Doctoral thesis
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Admission Control and Media Delivery Subsystems for Video on Demand Proxy Server
Qazzaz ., B. (Author), Suppi Boldrito, R. (Director), 21 Jun 2004Student thesis: Doctoral thesis