Projects per year
Organization 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.
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Profiles
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Elisa Heymann Pignolo
- Department of Computer Architecture and Operating Systems
- High Performance Computing for Efficient Applications and Simulation
Person: Lecturer, Assignment to research
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Emilio Luque Fadon
- Department of Computer Architecture and Operating Systems
- High Performance Computing for Efficient Applications and Simulation
Person: Assignment to research, Honorary 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: Pre-doctoral researcher training, Assignment to research
Projects
- 1 Active
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COMPUTACION DE ALTAS PRESTACIONES EFICIENTE Y SEGURA PARA APLICACIONES DE SERVICIOS DE SALUD INTELIGENTES
Rexachs del Rosario, D. I., Luque Fadon, E., Gómez Sánchez, P., Leon Otero, B. D. C., Mendez ., S. A., Parraga Pinzon, E. A., Epelde Gonzalo, F. D., Heymann Pignolo, E., Suppi Boldrito, R., Aldo Balladini, J., DA SILVA BORGES DE SANTANA, F. J., DE GIUSTI RUBIO, A. E., Gaudiani, A. A., Harita Rascon, M. D. L. A., Lopes Bezerra, A. A., MIGUEL MONTEZANTI, D., MORAN AQUEVEQUE, M., Miller, B., OMAR ENCINAS, D., Printista, A. M., TIRADO MARABOLI, F., TISSERA, C., WONG GONZALEZ, J. A., Boixader Estévez, F., Enrique Manonellas, G., Eva Bruballa Vilas, Martín, M. A., Taboada González, M., VICENTE VILLALBA, A. & Galeano Galeano, R. E.
1/09/21 → 31/08/24
Project: Research Projects and Other Grants
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A computational methodology applied to optimize the performance of a river model under uncertainty conditions
Gaudiani, A., Wong, A., Luque, E. & Rexachs, D., 2022, (Accepted in press) In: Journal of Supercomputing. 23 p.Research output: Contribution to journal › Article › Research › peer-review
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Scalable performance analysis method for SPMD applications
Tirado, F., Wong, A., Rexachs, D. & Luque, E., Nov 2022, In: Journal of Supercomputing. 78, 17, p. 19346-19371 26 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
A Method for Projections of the Emergency Department Behaviour by Non-Communicable Diseases From 2019 to 2039
Shojaei, E., Wong, A., Rexachs, D., Epelde, F. & Luque, E., 1 Sept 2020, In: IEEE Journal of Biomedical and Health Informatics. 24, 9, p. 2490-2498 9 p., 9091062.Research output: Contribution to journal › Article › Research › peer-review
6 Citations (Scopus)