Projects
This group carries out activities related to performance analysis, simulation, emulation, and development of new libraries for emerging architectures. The group develops tools and models to monitor the use of resources and measure the performance in parallel and distributed HPC applications. These performance analysis tools provide detailed analysis capabilities to make it...
Our team explores the programming approaches for homogeneous and heterogeneous architectures, including the use of accelerators and distributed clusters. We propose the OmpSs programming model, a task-based approach. OmpSs seeks to improve programmability of applications in such environments, without sacrificing performance. We actively participate in the OpenMP standard...
Digital sovereignty has become a key requirement for the EU, which is now striving to move from a simple user of ICT technologies to a main player on the digital market, both for products and human skills. Also, the need for EU (and the EuroHPC JU) to deploy Europe world-class exascale supercomputers is urging. The European Processor Initiative develops a roadmap for future...
The aim of the High Performance Computer and Quantum Simulator hybrid (HPCQS) is to prepare European research, industry and society for the use and federal operation of quantum computers and simulators. These are future computing technologies that are promising to overcome the most difficult computational challenges. HPCQS is developing the programming platform for the...
The CAMS2_35 invitation to tender describes a highly technical project that requires experience and expertise in several domains: integrated global chemistry and aerosol modelling, physics and chemistry of the atmosphere, air quality modelling, as well as a detailed knowledge on the architecture and functioning of the IFS and of the possible observational datasets used for...
DEEP-SEA (DEEP Software for Exascale Architectures) will deliver the programming environment for future Europeanexascale systems, adapting all levels of the software (SW) stack including low-level drivers, computation andcommunication libraries, resource management, and programming abstractions with associated runtime systems and tools to support highly heterogeneous compute...
To achieve high performance and high energy efficiency on near-future exascale computing systems, a technology gap needs to be bridged: increase efficiency of computation with extreme efficiency in HW and new arithmetics, as well as providing methods and tools for seamless integration of reconfigurable accelerators in heterogeneous HPC multi-nodeplatforms.
To achieve high performance and high energy efficiency on near-future exascale computing systems, a technology gap needs to be bridged: increase efficiency of computation with extreme efficiency in HW and new arithmetics, as well as providing methods and tools for seamless integration of reconfigurable accelerators in heterogeneous HPC multi-nodeplatforms.
One of the main drivers for building exascale HPC systems today is the growing need to process extremely large data sets. However, the flat storage hierarchies found in classic HPC architectures no longer satisfy the performance requirements of data-processing applications. Uncoordinated file access in combination with limited bandwidth make the centralised backend parallel...
DEEP-SEA (DEEP Software for Exascale Architectures) will deliver the programming environment for future Europeanexascale systems, adapting all levels of the software (SW) stack including low-level drivers, computation andcommunication libraries, resource management, and programming abstractions with associated runtime systems and tools to support highly heterogeneous compute...