Our Group integrates a series of lines of research, interrelated and developed in the context of High Performance Computing (HPC)

Research Lines

Considering HPC for Apps & Simulation, the main research lines focuses on two broad areas:

  1. HPC Technology
  2. Applications with Societal Impact

Detailed subjects:

Our project aims to provide solutions to the following problems, while it creates the corresponding technology that allows these solutions to be transferred:

  1. Performance and Efficiency in the use of HPC resources
    • Effect of the interconnection network on the performance of applications
    • Performance prediction. Scalability.
    • Efficient execution of applications: programming model, energy consumption, heterogeneous multicore.
  2. Availability of HPC resources (available to user)
    • Fault tolerance for HPC in numerical (technical-scientific) and transactional applications.
    • Integrity against attacks in use and/or access to the HPC resources (Vulnerability)
  3. Design and optimization of HPC systems, for “workloads” specific (application-specific domains)
    • CPU, network interconnection, I/O & Availability
    • Support tools (simulation)
  4. Social projection (impact) applications (solutions to problems of social impact -smart applications-, which require the capacity of HPC systems):
    • Simulation and optimization of Emergency Services in Hospitals (Smarter Health Services)
    • Simulation of Individuals oriented Models
      • HPCNelogo: Environment for the concurrent execution of ABM models under Netlogo-Behavior Space in an unattended/remote way on an HPC cluster using SGE (Github).
    • Simulation and optimization of movements of individuals in constrained environments (Smart Evacuations): Emergency Evacuations.
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News

Dr. Marina Morán receives the Best Doctoral Thesis Award from the journal Conocimiento e Innovación

The Postgraduate Program in Computer Science, through the scientific journal Conocimiento e Innovación, has awarded the prize for the best Doctoral Thesis defended during the previous calendar year. This recognition particularly considers the impact of the scientific publications associated with the doctoral research.

In this edition, the jury decided to grant the award to the thesis entitled:

“Modeling and management of energy consumption in a fault-tolerant high-performance computing system”

by Dr. Marina Morán.

The thesis was supervised by Dr. Dolores Rexachs, Dr. Javier Balladini, and Dr. Enzo Rucci, and focuses on the study and development of models and strategies to optimize energy consumption in High-Performance Computing (HPC) systems, incorporating fault-tolerance mechanisms. This type of research is particularly relevant in the current context, where energy efficiency and system reliability are key factors in the design and operation of modern supercomputing infrastructures.

We would like to congratulate Dr. Marina Morán and her supervisors on this important recognition, which highlights the scientific quality of the work and its impact in the field of high-performance computing.

HPC4EAS Participates in the XVI CAPAP-H Winter Seminar (Elche, 2026)

Researcher Eduardo Cabrera, member of the HPC4EAS group, participated in the XVI edition of the CAPAP-H Winter Seminar, held on February 11–13, 2026, at the Universidad Miguel Hernández de Elche, at the Escuela Politécnica Superior de Elche.

The CAPAP-H Winter Seminar is an annual key meeting point for the scientific community in High-Performance Architecture and Programming, fostering the exchange of experiences, research results, and future strategic research directions.

During the session on Wednesday, February 11 (16:30-20:00), dedicated to research group presentations, Eduardo Cabrera introduced the HPC4EAS group, presenting its main research lines.

Participation in this seminar has strengthened the visibility of the group, fostered synergies with other national research teams, and opened opportunities for potential collaborations in the field of High-Performance Computing.

HPC4EAS would like to thank the local organizing committee for the excellent organization of the event and for providing this valuable forum for scientific exchange.

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