Se ha denunciado esta presentación.
Utilizamos tu perfil de LinkedIn y tus datos de actividad para personalizar los anuncios y mostrarte publicidad más relevante. Puedes cambiar tus preferencias de publicidad en cualquier momento.

HPC4E - Concertation Meeting EUBrasilCloudFORUM

52 visualizaciones

Publicado el

The HPC4E project aims to apply the new exascale HPC techniques to energy industry simulations, customizing them, and going beyond the state-of-the-art in the required HPC exascale simulations for different energy sources: wind energy production and design, efficient combustion systems for biomass-derived fuels (biogas), and exploration geophysics for hydrocarbon reservoirs.
1. Apply the new exascale HPC techniques to improve exploration of 3 different energy industries : wind, biomass-derived fuels and geophysics for hydrocarbon reservoirs
2. Efficient use of the future 100 Petaflops and Exaflop systems
3. Benefit the energy sector from mature energy-oriented simulation toolsets
4. Benefit vendors from production-ready demonstrators that justify the need of supercomputers

Publicado en: Tecnología
  • Sé el primero en comentar

  • Sé el primero en recomendar esto

HPC4E - Concertation Meeting EUBrasilCloudFORUM

  1. 1. 23/1/2018 José Mª Cela (BSC) Alvaro Coutinho (COPPE) HPC4E General Overview
  2. 2. 23/1/2018HPC4E General Overview2 PROJECT STRUCTURE
  3. 3. 23/1/2018HPC4E General Overview3 GENERAL OVERVIEW  HPC4E has sparked new Brazil-EU partnerships. Many Brazil-EU collaborations are currently active and more are expected in the future  There are significant contributions for the industry  All the industrial partners have modified their daily workflows with software produced by the project.  Scientific production for the whole project is relevant: 102 scientific contributions  All the deliverables done and no significant deviations in the management plan
  4. 4. 23/1/2018HPC4E General Overview4 WP2 DISRUPTIVE EXASCLA COMPUTER ARCHITECTURES  Long-lasting and solid traversal collaborations between the partners for WP2 remain as an output of the project.  There are significant contributions for the industry, as a product of the kernels developed in WP2  There were 50 million core-hours obtained in competitive calls to provide HPC resources to the consortium.  HPC prototypes for Exascale were fairly tested for assessing efficiency and usefulness for industry.
  5. 5. 23/1/2018HPC4E General Overview5 WP3 SIMULATORS FOR EXASCALE COMPUTATIONS  WP3 have contributed to innovative mathematical and computational tools for new generation simulators in energy industry  Mimetic FD to preserve the order (time domain)  HGD reduce global linear system dimension increasing the local computations (frequency domain)  MHM (time domain) able to manage multiscale problems  LibMesh join with MHM to reduce complexity  Online modeling, analyzing and tuning dataflows of numerical simulations  Several demonstrations of the capabilities of these tools on industrial suited-cases
  6. 6. 23/1/2018HPC4E General Overview6  Demonstrations of the tools with industrial cases (IBERDROLA and ONS)  Improve the present modeling for wind farms with to different lines of work: Dynamical and Statistical downscaling  Implementation of RANS & LES models using dynamical downscaling  Numerical modeling validated with real wind farms (IBERDROLA)  Statistical downscaling implemented and tested with ONS data  Improving scalability of BRAMS till O(105) cores  ONS forecast improved using statistical strategies WP4 ATMOSPHERE FOR ENERGY
  7. 7. 23/1/2018HPC4E General Overview7 WP5 BIOMASS FOR ENERGY  Complete characterization of kinetic mechanisms for biogas  Evaluate the performance of different biogases in practical devices  Dynamics, stability, thermal power and pollutant formation in an industrial combustor  Dynamics, and stability in a portable hydrogen reformer  Optimized industrial guideline for the used of biogas
  8. 8. 23/1/2018HPC4E General Overview8 WP6 GEOPHYSICS FOR ENERGY  Reduce the cost and improve quality of seismic imaging  New Finite difference computing schemes  New Finite elements computing schemes  FWI schemes for both approaches tested with Industrial data  A benchmark open to industry an academia is produced  Technology transfer to industrial workflows completed (REPSOL, TOTAL, PETROBRAS)
  9. 9. Barcelona Jan, 2018