The document provides an overview of the HPC4E project, which sparked new Brazil-EU partnerships and collaborations in high performance computing for energy applications. It summarizes the key contributions and outcomes of each work package. Work Package 2 developed disruptive exascale computer architectures and tested HPC prototypes. Work Package 3 contributed innovative tools for exascale simulations in energy. Work Package 4 improved atmospheric modeling for wind energy forecasting. Work Package 5 characterized biogas kinetics and combustion. Work Package 6 reduced costs and improved quality for seismic imaging in geophysics. Overall the project achieved its scientific and management goals through contributions to industry and research.

1. 23/1/2018
José Mª Cela (BSC)
Alvaro Coutinho (COPPE)
HPC4E
General
Overview

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PROJECT STRUCTURE

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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

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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.

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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

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 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

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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

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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. Barcelona Jan, 2018