H2020Индивидуална стипендия2019–2021

Exa-FireFlows · Exascale framework for supporting high-fidelity simulations of multiphase reacting flows in complex geometries

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2019-06-01 → 2021-05-31
Финансиране от ЕС: 172 932 €
Участници: 1
Схема: MSCA-IF-EF-ST

Линиите свързват координатора с партньорите.

Накратко на български

Софтуерни стратегии за суперкомпютри се разработват, за да се симулират сложни процеси на горене с различни горива. Това помага за подобряване на горивната ефективност и намаляване на вредните емисии в околната среда.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Exascale framework for supporting high-fidelity simulations of multiphase reacting flows in complex geometries

High-performance computing (HPC) has transformed scientific research across numerous disciplines by supporting theory and experiments with numerical simulations. Exascale computing is the next milestone in HPC and is called to play an essential role in economic competitiveness, societal challenges, and science leadership. Combustion is one of the fields with high strategic importance and potential to fully exploit future exascale systems. Further understanding of the physics and chemistry of the combustion process is fundamental to achieve improvements in fuel efficiency, reducing greenhouse gas emissions and pollutants while transitioning to alternative fuels and greener technologies. Advanced numerical simulations have enabled to make significant contributions for increasing cycle efficiency, reduction of pollutant emissions, and use of alternative fuels in practical applications. However, implementing the new and future supercomputers requires the evolution of multiple and different technologies in a coherent and complementary way, including hardware, software, and application algorithms. Hence, scientific codes and formulations need to be re-designed and adapted to exploit the different levels of parallelism and complex memory hierarchies of the new and future heterogeneous systems. The project aims to explore and develop novel HPC strategies into a software stack that allows the simulation of advanced high-fidelity multiphase reacting flows in complex geometries using unstructured grids. The main objectives of this work are: O1: Development of a computational framework supporting a wide range of flow simulations in complex geometries and unstructured grids. O2: Attaining maximum performance at an intra-node level. O3: Advancing in inter-node scalability. O4: Validation and Integration: A demonstrator will be created for predicting emissions using high fidelity simulations in both high resolution and large domains.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

High performance computing (HPC) has transformed scientific research across numerous disciplines by supporting theory and experiments with numerical simulations. Exascale computing is the next milestone in HPC and is called to play an important role in economic competitiveness, societal challenges and science leadership. Combustion is one of the fields with high strategic importance and potential to fully exploit the future exascale systems. Nowadays, combustion of fossil fuels is the main power source, and some projections indicate that the combustion of liquid fuels will still dominate transportation and power generation industries for the next 50 years. Further understanding of the physics and chemistry of the combustion process is fundamental to achieve improvements in fuel efficiency, reducing greenhouse gas emissions and pollutants, while transitioning to alternative fuels and greener technologies. The use of advanced numerical simulations has enabled to make important contributions for increasing cycle efficiency, reduction of pollutant emissions, and use of alternative fuels in practical applications. The exascale computing will enable the development of high-fidelity turbulent combustion simulations that could not be analyzed before because it was too computationally expensive. However, the implementation of the new and future supercomputers require the evolution of multiple and different technologies in a coherent and complimentary way, including hardware, software, and application algorithms. Scientific codes and formulations need to be re-designed and adapted in order to exploit the different levels of parallelism and complex memory hierarchies of the new and future heterogeneous systems. The goal of the project is to explore and develop novel co-execution, memory awareness and communication avoidance strategies into a framework that allows the simulation of advance high-fidelity multiphase reacting flows in complex geometries using unstructured grids.

Оригинален текст от CORDIS (на английски).

Участници

BARCELONA SUPERCOMPUTING CENTER CENTRO NACIONAL DE SUPERCOMPUTACION · BARCELONAКоординаторИспания