European Exascale projects

IO-SEA aims to provide a novel data management and storage platform for exascale computing based on hierarchical storage management (HSM) and on-demand provisioning of storage services.

The eProcessor ecosystem combines open source software (SW) and hardware (HW) to deliver the first completely open source European full stack ecosystem

DEEP-SEA (“DEEP – Software for Exascale Architectures”) will deliver the programming environment for future European exascale systems, adapting all levels of the software (SW) stack – including low-level drivers, computation

The growing need to process extremely large data sets is one of the main drivers for building exascale HPC systems today.

Recent successes have established the potential of parallel-in-time integration as a powerful algorithmic paradigm to unlock the performance of Exascale systems

DEEP-SEA (“DEEP – Software for Exascale Architectures”) will deliver the programming environment for future European exascale systems, adapting all levels of the software (SW) stack – including low-level drivers, computation

With climate change being described as the greatest threat facing modern humans ever, it’s necessary to develop the tools needed to prepare for its potential future effects. Machine learning can help improve weather and climate modelling.

IO-SEA aims to provide a novel data management and storage platform for exascale computing based on hierarchical storage management (HSM) and on-demand provisioning of storage services.

DEEP-SEA (“DEEP – Software for Exascale Architectures”) will deliver the programming environment for future European exascale systems, adapting all levels of the software (SW) stack – including low-level drivers, computation

In order to enable Exascale computing, next generation interconnection networks must scale to hundreds of thousands of nodes, and must provide features to also allow the HPC, HPDA, and AI applications to reach Exascale

The eProcessor ecosystem combines open source software (SW) and hardware (HW) to deliver the first completely open source European full stack ecosystem

DEEP-SEA (“DEEP – Software for Exascale Architectures”) will deliver the programming environment for future European exascale systems, adapting all levels of the software (SW) stack – including low-level drivers, computation

DCoMEX will fuse physics-constrained machine learning (ML), statistical methods and large scale linear algebra solvers to address extremely demanding computational mechanics problems. It will develop an open source, user friendly and customisable computational mechanics framework that harnesses the capabilities of next generation European Exascale systems.

Recent successes have established the potential of parallel-in-time integration as a powerful algorithmic paradigm to unlock the performance of Exascale systems

To achieve high performance and high energy efficiency on near-future exascale computing systems, a technology gap needs to be bridged.

In order to enable Exascale computing, next generation interconnection networks must scale to hundreds of thousands of nodes, and must provide features to also allow the HPC, HPDA, and AI applications to reach Exascale

IO-SEA aims to provide a novel data management and storage platform for exascale computing based on hierarchical storage management (HSM) and on-demand provisioning of storage services.

The eProcessor ecosystem combines open source software (SW) and hardware (HW) to deliver the first completely open source European full stack ecosystem

DEEP-SEA (“DEEP – Software for Exascale Architectures”) will deliver the programming environment for future European exascale systems, adapting all levels of the software (SW) stack – including low-level drivers, computation

The growing need to process extremely large data sets is one of the main drivers for building exascale HPC systems today.

Perfectly aligned with the vision of the EuroHPC Joint Undertaking, the SparCity project aims at creating a supercomputing framework that will provide efficient algorithms and coherent tools.

To achieve high performance and high energy efficiency on near-future exascale computing systems, a technology gap needs to be bridged.

In order to enable Exascale computing, next generation interconnection networks must scale to hundreds of thousands of nodes, and must provide features to also allow the HPC, HPDA, and AI applications to reach Exascale

The eProcessor ecosystem combines open source software (SW) and hardware (HW) to deliver the first completely open source European full stack ecosystem

DEEP-SEA (“DEEP – Software for Exascale Architectures”) will deliver the programming environment for future European exascale systems, adapting all levels of the software (SW) stack – including low-level drivers, computation

The growing need to process extremely large data sets is one of the main drivers for building exascale HPC systems today.

Perfectly aligned with the vision of the EuroHPC Joint Undertaking, the SparCity project aims at creating a supercomputing framework that will provide efficient algorithms and coherent tools.

Recent successes have established the potential of parallel-in-time integration as a powerful algorithmic paradigm to unlock the performance of Exascale systems

To achieve high performance and high energy efficiency on near-future exascale computing systems, a technology gap needs to be bridged.

In order to enable Exascale computing, next generation interconnection networks must scale to hundreds of thousands of nodes, and must provide features to also allow the HPC, HPDA, and AI applications to reach Exascale

With climate change being described as the greatest threat facing modern humans ever, it’s necessary to develop the tools needed to prepare for its potential future effects. Machine learning can help improve weather and climate modelling.

IO-SEA aims to provide a novel data management and storage platform for exascale computing based on hierarchical storage management (HSM) and on-demand provisioning of storage services.

The eProcessor ecosystem combines open source software (SW) and hardware (HW) to deliver the first completely open source European full stack ecosystem

DEEP-SEA (“DEEP – Software for Exascale Architectures”) will deliver the programming environment for future European exascale systems, adapting all levels of the software (SW) stack – including low-level drivers, computation

The growing need to process extremely large data sets is one of the main drivers for building exascale HPC systems today.

DCoMEX will fuse physics-constrained machine learning (ML), statistical methods and large scale linear algebra solvers to address extremely demanding computational mechanics problems. It will develop an open source, user friendly and customisable computational mechanics framework that harnesses the capabilities of next generation European Exascale systems.

Recent successes have established the potential of parallel-in-time integration as a powerful algorithmic paradigm to unlock the performance of Exascale systems

To achieve high performance and high energy efficiency on near-future exascale computing systems, a technology gap needs to be bridged.

In order to enable Exascale computing, next generation interconnection networks must scale to hundreds of thousands of nodes, and must provide features to also allow the HPC, HPDA, and AI applications to reach Exascale

With climate change being described as the greatest threat facing modern humans ever, it’s necessary to develop the tools needed to prepare for its potential future effects. Machine learning can help improve weather and climate modelling.

The eProcessor ecosystem combines open source software (SW) and hardware (HW) to deliver the first completely open source European full stack ecosystem

The growing need to process extremely large data sets is one of the main drivers for building exascale HPC systems today.

DCoMEX will fuse physics-constrained machine learning (ML), statistical methods and large scale linear algebra solvers to address extremely demanding computational mechanics problems. It will develop an open source, user friendly and customisable computational mechanics framework that harnesses the capabilities of next generation European Exascale systems.

The growing need to process extremely large data sets is one of the main drivers for building exascale HPC systems today.

IO-SEA aims to provide a novel data management and storage platform for exascale computing based on hierarchical storage management (HSM) and on-demand provisioning of storage services.

IO-SEA aims to provide a novel data management and storage platform for exascale computing based on hierarchical storage management (HSM) and on-demand provisioning of storage services.

With climate change being described as the greatest threat facing modern humans ever, it’s necessary to develop the tools needed to prepare for its potential future effects. Machine learning can help improve weather and climate modelling.

Perfectly aligned with the vision of the EuroHPC Joint Undertaking, the SparCity project aims at creating a supercomputing framework that will provide efficient algorithms and coherent tools.

With climate change being described as the greatest threat facing modern humans ever, it’s necessary to develop the tools needed to prepare for its potential future effects. Machine learning can help improve weather and climate modelling.

In order to enable Exascale computing, next generation interconnection networks must scale to hundreds of thousands of nodes, and must provide features to also allow the HPC, HPDA, and AI applications to reach Exascale

With climate change being described as the greatest threat facing modern humans ever, it’s necessary to develop the tools needed to prepare for its potential future effects. Machine learning can help improve weather and climate modelling.

DEEP-SEA (“DEEP – Software for Exascale Architectures”) will deliver the programming environment for future European exascale systems, adapting all levels of the software (SW) stack – including low-level drivers, computation

DCoMEX will fuse physics-constrained machine learning (ML), statistical methods and large scale linear algebra solvers to address extremely demanding computational mechanics problems. It will develop an open source, user friendly and customisable computational mechanics framework that harnesses the capabilities of next generation European Exascale systems.

Perfectly aligned with the vision of the EuroHPC Joint Undertaking, the SparCity project aims at creating a supercomputing framework that will provide efficient algorithms and coherent tools.