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.

1. High-PerformanceHigh-Performance
Computing For EnergyComputing For Energy

2. High-PerformanceHigh-Performance
Computing For EnergyComputing For Energy

3. Energy DemandEnergy Demand

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. Computing Power and EnergyComputing Power and Energy

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. 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. 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. HPC4E: HydrocarbonHPC4E: Hydrocarbon
ExplorationExploration
•
Exascale-level computational kernels.
•
Exploration risk reduction through uncertainty quantification.
•
Industry-driven benchmarks for geophysical imaging.

10. HPC4E: BiofuelsHPC4E: Biofuels
•
Describe the performance of biomass fuel blends on practical
combustion systems.
•
Improve the design of combustion engines.

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. 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. 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. 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. High-PerformanceHigh-Performance
Computing For EnergyComputing For Energy
www.hpc4e.euwww.hpc4e.eu