High Performance Computing for Efficient Applications and Simulation

  • Postal addressShow on map

    Edifici Q, Campus UAB

    08193 Bellaterra (Cerdanyola del Vallès)

    Spain

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

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy

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Collaborations and top research areas from the last five years

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