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

Progress Presentations

This week marks the start of the follow-up sessions for doctoral theses corresponding to the 2024–2025 academic year of the PhD Program in Computer Science. Within the framework of the research line in High-Performance Computing, our group has participated with the presentations of two of its PhD candidates:

  • Edixon Párraga presented the progress of his research, titled “Tuning the I/O system for Artificial Intelligence applications running on HPC systems.”
  • Ramona Galeano, who presented the advances in her doctoral work on “Emergency services management using simulation“.

Congratulations to both for the quality of their presentations and for their strong commitment to their research!

New PhD Graduate at HPC4EAS

We congratulate Marina Morán, who has successfully defended her doctoral thesis titled “Modeling and Management of Energy Consumption in a High-Performance Computing System with Fault Tolerance.“

We also extend our congratulations to her supervisors, Dr. Javier Balladini and Dr. Dolores Rexachs, as well as her co-supervisor, Dr. Enzo Rucci, for their valuable guidance and support throughout this work.

Our special thanks go to the members of the examination committee, Dr. Francisco Tirado, Dr. Emmanuel Frati, and Dr. Miguel Méndez Garabetti, for their participation and insightful contributions during the thesis evaluation.

At HPC4EAS, we celebrate this achievement and wish Marina great success in her research career.

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