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

Ongoing PhD Progress Sessions – May 30th

Today, May 30th, two more PhD candidates from our group participated in the progress presentation sessions for the 2024–2025 academic year of the PhD Program in Computer Science, within the research line in High-Performance Computing.

Ana Candelaria Álvarez presented the progress of her doctoral research titled:
“Data-driven model for predicting the progression of chronic kidney disease”
Mercè Planas González shared the advances in her thesis:
“Automatic and Intelligent Management of Emergency Department (AIMED)”

We congratulate both researchers for their excellent presentations and valuable contributions!

Continuing with the Progress Presentations

Last Friday, May 23rd, our group participated in the ongoing progress presentation sessions for the 2024–2025 academic year of the PhD Program in Computer Science. These sessions are part of the activities within the research line in High-Performance Computing.

On this occasion, Antonio González Cuevas presented the progress of his doctoral research, titled:
“ABM-GIS Urban Mobility Scenario Simulation Models for Strategic Decision Optimization in Emergency Services.”

Congratulations to Antonio for his presentation, and for the valuable advancements in his research!

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