SatelliteProjects
Satellite Projects
SatelliteProjects.SatelliteProjects History
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%newwin% [[https://projects.imec.be/exa2ct | EXA2CT]] (Exascale Algorithms and Advanced Computational Techniques) EU project\\\
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%newwin% [[http://www.exa2ct.eu | EXA2CT]] (Exascale Algorithms and Advanced Computational Techniques) EU project\\\
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This project brings together experts at the cutting edge of the development of solvers, related algorithmic techniques, and HPC software architects for programming models and communication. It will take a revolutionary approach to exascale solvers and programming models, rather than the incremental approach of other projects. We will produce modular open source proto-applications that demonstrate the algorithms and programming techniques developed in the project, to help boot-strap the creation of genuine exascale codes.
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%newwin% [[https://projects.imec.be/exa2ct | EXA2CT]] (Exascale Algorithms and Advanced Computational Techniques) EU FP7 project\\\
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%newwin% [[https://projects.imec.be/exa2ct | EXA2CT]] (Exascale Algorithms and Advanced Computational Techniques) EU project\\\
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%newwin% [[http://www.deep-er.eu | DEEP-ER]] (Dynamic Exascale Entry Platform - Extended Reach) project\\\
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%newwin% [[http://www.deep-er.eu | DEEP-ER]] (Dynamic Exascale Entry Platform - Extended Reach) EU project\\\
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%newwin% [[https://projects.imec.be/exa2ct | EXA2CT]] (Exascale Algorithms and Advanced Computational Techniques) EU FP7 project\\\
Numerical simulation is a crucial part of science and industry in Europe. The advancement of simulation as a discipline relies on increasingly compute intensive models that require more computational resources to run. This is the driver for the evolution to exascale. Due to limits in the increase in single processor performance, exascale machines will rely on massive parallelism on and off chip, with a complex hierarchy of resources. The large number of components and the machine complexity introduce severe problems for reliability and programmability. The former of these will require novel fault-aware algorithms and support software. In addition, the scale of the numerical models exacerbates the difficulties by making the use of more complex simulation algorithms necessary, for numerical stability reasons. A key example of this is increased reliance on solvers. Such solvers require global communication, which impacts scalability, and are often used with preconditioners, increasing complexity again. Unless there is a major rethink of the design of solver algorithms, their components and software structure, a large class of important numerical simulations will not scale beyond petascale. This in turn will hold back the development of European science and industry which will fail to reap the benefits from exascale.\\\
The EXA2CT project brings together experts at the cutting edge of the development of solvers, related algorithmic techniques, and HPC software architects for programming models and communication. It will take a revolutionary approach to exascale solvers and programming models, rather than the incremental approach of other projects. We will produce modular open source proto-applications that demonstrate the algorithms and programming techniques developed in the project, to help boot-strap the creation of genuine exascale codes.
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%newwin% [[https://projects.imec.be/exa2ct | EXA2CT]] (Exascale Algorithms and Advanced Computational Techniques) EU FP7 project\\\
Numerical simulation is a crucial part of science and industry in Europe. The advancement of simulation as a discipline relies on increasingly compute intensive models that require more computational resources to run. This is the driver for the evolution to exascale. Due to limits in the increase in single processor performance, exascale machines will rely on massive parallelism on and off chip, with a complex hierarchy of resources. The large number of components and the machine complexity introduce severe problems for reliability and programmability. The former of these will require novel fault-aware algorithms and support software. In addition, the scale of the numerical models exacerbates the difficulties by making the use of more complex simulation algorithms necessary, for numerical stability reasons. A key example of this is increased reliance on solvers. Such solvers require global communication, which impacts scalability, and are often used with preconditioners, increasing complexity again. Unless there is a major rethink of the design of solver algorithms, their components and software structure, a large class of important numerical simulations will not scale beyond petascale. This in turn will hold back the development of European science and industry which will fail to reap the benefits from exascale.\\\
The EXA2CT project brings together experts at the cutting edge of the development of solvers, related algorithmic techniques, and HPC software architects for programming models and communication. It will take a revolutionary approach to exascale solvers and programming models, rather than the incremental approach of other projects. We will produce modular open source proto-applications that demonstrate the algorithms and programming techniques developed in the project, to help boot-strap the creation of genuine exascale codes.
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%newwin% [[http://www.deep-er.eu | DEEP-ER]] (Dynamic Exascale Entry Platform - Extended Reach) project\\\
The growing gap between I/O bandwidth and compute speed, and the need to significantly improve system resiliency are two of the most important Exascale challenges. DEEP-ER will extend the Cluster-Booster architecture of the DEEP project with a highly scalable I/O system and implement an efficient mechanism to recover application tasks that fail due to hardware errors. As a result, I/O parts of HPC codes will run faster and scale up better. These benefits will be demonstrated with the optimisation of seven HPC applications coming from different scientific and engineering areas and representing requirements of simulation-based and data-intensive HPC codes. The prototype developed and constructed by the DEEP-ER project will be used to prove the viability of the concept for 500 Petaflop class of supercomputers.
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%newwin% [[http://www.deep-er.eu | DEEP-ER]] (Dynamic Exascale Entry Platform - Extended Reach) project\\\
The growing gap between I/O bandwidth and compute speed, and the need to significantly improve system resiliency are two of the most important Exascale challenges. DEEP-ER will extend the Cluster-Booster architecture of the DEEP project with a highly scalable I/O system and implement an efficient mechanism to recover application tasks that fail due to hardware errors. As a result, I/O parts of HPC codes will run faster and scale up better. These benefits will be demonstrated with the optimisation of seven HPC applications coming from different scientific and engineering areas and representing requirements of simulation-based and data-intensive HPC codes. The prototype developed and constructed by the DEEP-ER project will be used to prove the viability of the concept for 500 Petaflop class of supercomputers.
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