RISC2 project has the participation of 8 European and 8 Latin American partners. Participating on the Brazilian side are LNCC and COPPE / UFRJ, which host two of the largest supercomputers in Latin America for research – Santos Dumont from LNCC and Lobo Carneiro from COPPE / UFRJ. The general coordination of the project is the Barcelona Supercomputing Center (Spain), which also has heavyweights in the area of HPC in Europe,
The project aims to finance training and cooperation events between the two communities, which will be organized in four Latin American countries, over the course of two years of the project (which starts in 2020). In addition, it will facilitate remote access to HPC training resources existing in the two communities, as well as the transfer of acquired knowledge to researchers and technologists working in different areas of knowledge.
HPC4E (High Performance Computing Ror Energy) Consortium consists of 13 partners, 7 from Europe and 6 from Brazil, with different organizational cultures (universities, research centres, supercomputing facilities and industry). Within this framework, Inria works with the following Brazilian partners: the COPPE/UFRJ, the LNCC, the ITA (Instituto Tecnologico de Aeronautica), Petrobras and the INF-UFRGS. It started in 2015 and ended in 2017.
The 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.
Inria International Chair Frédéric Valentin (2018-2023)
Frederic Valentin is awardee of the Inria International Chairs program:from 2018 to 2023 he will spend at least 12 months along the five years in NACHOS Inria Research Team.
Its contribution in computational and applied mathematics lies in devising and analyzing innovative numerical methods and mathematical models for multiscale phenomena appearing in engineering and life science problems.
Thus, he holds a senior researcher position at LNCC (Laboratório Nacional de Computação Cientifica) where he leads the Department of Computational and Mathematical Methods. He also is a member of the applied mathematics board of the National Science Foundation (CNPq). His contribution to the development of numerical algorithms for high-performance computing led him to serve as LNCC’s coordinator of the Brazil-European Community Project on High-Performance Computing for Energy (HPC4E) and be part of the scientific board of the most advanced super-computing center in Latin America, which is located at LNCC and houses the Santos Dumont petaflop supercomputer. He is also one of the Scientific Leader of the Inria-LNCC partnership.
The Green AI project has been led by Inria Chile and PUC-Rio since 2019 and has received a 1st funding in the framwork of the CLIMAT AmSud program as a project-test. Its goal is to conceive a systemic and multi-component approach to the problem of the Artificial Intelligence’s ecological impact. Thus, it focuses on cloud and mobile computing, transfer learning, model reuse, active learning and evolutionary computing, among others.
In 2020 researchers from LNCC under the coordination of Mariza Ferro joined the project, as well as researchers from other countries CMM (Centro de Modelamento Matematico de Chile), Universidad de la Republica (Uruguay), Universidad de Asuncion (Paraguay). The project was selected at the end of the 1st Call for projects CLIMAT AmSud program and will receive fundings from Inria, the ANID and Conacyt.
Funded by the French National Research Agency (ANR), the project is related to numerical modeling of overland flows. It gathers Frédéric Valentin from LNCC and researchers from three Inria teams: Konstantin Brenner from the University Clermont Auvergne and member of Inria team COFFEE (PI), Roland Masson, University Clermont Auvergne and member of Inria team COFFEE, Ludovic Andres, University Clermont Auvergne, Cindy Guichard, Sorbonne University and member of the INRIA team ANGE and Sébastien Boyaval, Ecole des Ponts ParisTech, member of the Inria team MATHERIALS.
The grant whose main recipient is the University Clermont Auvergne started in 2021 for a duration of 4 years.
It is an International Associate Laboratory between CNRS, UCBL, Inria and the LNCC/MCT in Brazil, managed by Dr Ana Tereza Vasconcelos. It was officially created from January 1st, 2012 for a dur of 4 years with possibility of asking for a renewal once, which was granted. The project lasted until the end of 2019. It was coordinated on the Brazilian side by Ana Tereza Vasconcelos, and on the French side by Marie-France Sagot (Inria-ERABLE team).
The activities of LIRIO cover research, teaching and also involve the bioinformatics platforms on both sides. It concerns putting together all the activities currently conducted by each team separately or that each team involved in the LIA has already planned to do, but also new research that the synergy between the two teams will enable to address in future. This research concentrates on two main axes, one strongly concerned with the host-parasite relationship and the second with micro-environmental genomics and systems biology. Both address complex systems by a broad variety of experimental, bioinformatic and algorithmic approaches that reflect the complementarity of the two teams involved (biology including experimental part for the Brazilian team, algorithmics for the French one) while bioinformatics is a common language between the two.
It led to the creation of two associated projects:
–Inria-FAPERJ RAMPA (2011-2013), coordinated by Ana Tereza Vasconcelos (LNCC) and Marie-France Sagot (Inria): the aim of the project is to computationally and experimentally start studying the dialog between the protozoa of the Trypanosomatidae family and the endosymbiont bacteria.
–CAPES-COFECLUB Microbial Ecosystem of Swines (2013-2014) project proposes to experimentally and mathematically explore the biodiversity of the bacterial organisms living in the respiratory tract of swines, many of which are pathogenic.
CODYN (COmplex DYnamic Networks) is a mutual project between LNCC and that lasted from 2012 to 2013. Its main goal was to lay solid foundations to the characterization of dynamically evolving networks, and to the field of dynamical processes occurring on large scale dynamic interaction networks. In order to develop tools of practical relevance in real-world settings, they grounded their methodological studies on real data sets. One set was collected within the iBird project partially funded by the MOSAR European program. Other sets are based on social blog traces or twitter traces1. The project was led by Eric Fleury (Inria) and Artur Ziviani (LNCC).
HOSCAR (High performance cOmputing and SCientific dAta management dRiven by highly demanding applications) was a CNPq – INRIA collaborative project between Brazilian and French researchers, in the field of computational sciences, sponsored by the French Embassy in Brazil from 2012 to 2015. Several Brazilian institutions participated among which: LNCC (Laboratório Nacional de Computação Científica), COPPE/UFRJ (Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering, Universidade Federal do Rio de Janeiro), INF/UFRGS (Instituto de Informática, Universidade Federal do Rio Grande do Sul), LIA/UFC (Laboratórios de Pesquisa em Ciência da Computação Departamento de Computação, Universidade Federal do Ceará). In the French team, we can find Julien Diaz (MAGIQUE-3D), Luc Giraud (HIEPACS), Stéphane Lanteri (NACHOS), Esther Facitti et Patrick Valduriez (ZENITH), Jean-François Méhaut (Univ. Joseph Fournier, JLESC) and Frédéric Desprez (Inria).
The general objective of the project was to set up a multidisciplinary Brazil-France collaborative effort for taking full benefits of future high-performance massively parallel architectures. The targets were the very large-scale datasets and numerical simulations relevant to a selected set of applications in natural sciences: (i) resource prospection, (ii) reservoir simulation, (iii) ecological modeling, (iv) astronomy data management, and (v) simulation data management. The project involves computer scientists and numerical mathematicians divided in 3 fundamental research groups: (i) numerical schemes for PDE models (Group 1), (ii) scientific data management (Group 2), and (iii) high-performance software systems (Group 3).
The general impacts derived from the efficient use of exascale HPC and simulation technology leading are:
-Vast improvement in simulation efficiency in terms of Watts needed per execution and reduced time-to-solution. This will be applied to critical aspects of the energy value chain, with rapid deployment in the partner’ current production systems.
-Establishing transnational “numerical laboratories”, which are cheaper, safer and faster than real-life experiments.