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HPC4E - High Performance COmputing for Energy

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Congresso Sociedade Brasileira de Computação CSBC2016 Porto Alegre (Brazil)

Workshop on Cloud Networks & Cloudscape Brazil

Philippe O.A. Navaux, Professor at the Federal University of Rio Grande do Sul and Computer Science Area Director of CAPES, Brazil

Funded jointly by the European Commission (EC) and the Ministry of Science, Technology and Innovation; Portuguese: Ministério da Ciência, Tecnologia e Inovação (MCTI) of Brazil, the EUBrasilCloudFORUM project supports EU-BR collaborative projects in the collection and promotion of their results and activities. The results will be used to draft a research Roadmap on cloud computing, identifying collaboration needs and opportunities between Europe and Brazil for the European Commission and to MCTI, thus contributing to the definition of future cooperation priorities between the two regions.

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HPC4E - High Performance COmputing for Energy

  1. 1. High-PerformanceHigh-Performance Computing For EnergyComputing For Energy
  2. 2. High-PerformanceHigh-Performance Computing For EnergyComputing For Energy
  3. 3. Energy DemandEnergy Demand
  4. 4. EU-BRA Energy ChallengesEU-BRA Energy Challenges 20202020 1 - Improve the odds of finding hydrocarbon at deep “pre-salt” reservoirs. 2 - Describe behavior of biomass blends and design better turbines and furnaces. 3 - Wind farm optimization and throughput prediction.
  5. 5. Computing Power and EnergyComputing Power and Energy
  6. 6. Simulations 4 EnergySimulations 4 Energy Simulations can provide us with • Cheap • Tailored • Detailed insight on all of these problems but next generation or exascale supercomputers will require radically different simulators to be developed.
  7. 7. HPC4E (HPC for Energy)HPC4E (HPC for Energy) • H2020-EUB-2-2015: High Performance Computing. • 2 Million Euro for European partners; 6 Million Reais for Brazilian partners “Apply Exascale HPC technology to energy industry simulations” Wind + Oil and Gas + Biomass
  8. 8. Project StructureProject Structure WP4 ATMOSPHERE FOR ENERGY WP5 BIOMASS FOR ENERGY WP6 GEOPHYSICS FOR ENERGY WP 1 MANAGEMENT WP7 DISSEMINATION & EXPLOITATION WP2 DISRUPTIVE EXASCALE COMPUTER ARCHITECTURES WP3 SIMULATORS FOR EXASCALE COMPUTATIONS
  9. 9. HPC4E: HydrocarbonHPC4E: Hydrocarbon ExplorationExploration • Exascale-level computational kernels. • Exploration risk reduction through uncertainty quantification. • Industry-driven benchmarks for geophysical imaging.
  10. 10. HPC4E: BiofuelsHPC4E: Biofuels • Describe the performance of biomass fuel blends on practical combustion systems. • Improve the design of combustion engines.
  11. 11. HPC4E: Wind farm design andHPC4E: Wind farm design and optimizationoptimization• Design the best possible spatial design for onshore and offshore wind farms. • Predict energy throughputs with local weather forecasts. • Enable using larger turbines.
  12. 12. ObjectivesObjectives Going beyond the state-of-the-art using HPC exascale simulations for different energy sources: • wind energy production and design. • efficient combustion systems for biomass-derived fuels (biogas). • exploration geophysics for hydrocarbon reservoirs.
  13. 13. Solutions EnvisionedSolutions Envisioned • HPC: Efficient use of the future 100 Petaflops and Exaflop systems. • WIND ENERGY: Wind farm design and short-term micro-scale wind simulations to forecast the daily power production and reduce CO2 targets. • BIOMASS: Predict the performance of different biomass-derived fuels in practical systems. • GEOPHYSICS: Obtain detailed images of deep hydrocarbon reservoirs.
  14. 14. PublicationsPublications 2016 Cela, J.M., Coutinho, A, Navaux, P. O. A., Mayo-García, R., "Fostering Collaboration in Energy Research and Technological Developments applying new exascale HPC techniques". 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) proceedings, 2016. Carreño, E. D., Diener, M., Cruz, E. H. M., Navaux, P. O. A., "Automatic Communication Optimization of Parallel Applications in Public Clouds". In 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2016. Coutinho, A., "EU-Brazil ICT collaboration today - getting to know each other" (Presentation). In EUBrasilCloudFORUM, 2016. Rodriguez, M., "Applying exascale techniques in the energy field" (Presentation). In European Exascale Applications & Software Conference (EASC2016), 2016. Diener, M., Cruz, E. H. M., Alves, M. A. Z., Navaux, P. O. A., "Communication in Shared Memory: Concepts, Definitions, and Efficient Detection". In 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP2016), 2016.
  15. 15. High-PerformanceHigh-Performance Computing For EnergyComputing For Energy www.hpc4e.euwww.hpc4e.eu

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