High Performance Computing Applications for Science and Engineering

  • Postal addressShow on map

    Edifici Q. Campus de la UAB

    08193 Bellaterra (Cerdanyola del Vallès)

    Spain

Organisation profile

Organisation profile

In HPCA4SE we focus our interest researching and developing in the field of high performance computing systems. Our applications are oriented to science and engineering fields, and we focus on both basic and applied research.

Therefore our researchers work studying and using advanced computing platforms such as multy/many core processors or GPUs, distributed systems, supercomputers, etc.. The models and tools obtained improve ease of use and performance of these systems.

Among our activities is also included the use of high performance computing systems through the analysis, development and tuning, applied to various scientific fields such as bioinformatics, simulation of natural phenomena or industrial components, etc.

Research lines

  • Research lines:
  • Application of high-performance computing and Machine Learning strategies in applications related to the environment and climate change: assessment and improvement of air quality in urban areas, prediction of the spread of forest fires, atmospheric modeling, automatic creation of vegetation maps
  • Automatic tuning of parallel applications: Machine Learning-based tools, agent-based simulations
  • Efficient and scalable pairwise sequence alignment using hardware accelerators with applications in bioinformatics
  • Development of bioinformatics methodologies and tools for the study of biodiversity

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
  • SDG 11 - Sustainable Cities and Communities
  • SDG 13 - Climate Action
  • SDG 14 - Life Below Water
  • SDG 15 - Life on Land

Fingerprint

Dive into the research topics where High Performance Computing Applications for Science and Engineering is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or