CV Lattes
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Universidade Estadual de Campinas (UNICAMP). Instituto de Computação (IC) (Institutional affiliation from the last research proposal) Birthplace: França
Assistant professor at the Computing Institute of UNICAMP. Member of the Computer Systems Laboratory (LSC). He received his PhD in Computer Science from the University of Rennes 1 (France) in 2013 after doing collaborative research between IRISA/Inria and INSA of Rennes. After working one year as a research engineer at INSA of Rennes, he went to Brazil to work as a post-doctoral researcher of the Center for Computing in Engineering and Sciences (CCES) at UNICAMP. His main research interests are in parallel computing: compilation, scheduling, programming models, cloud technologies, and high-performance computing. (Source: Lattes Curriculum)
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The OpenMP Cluster (OMPC) is a parallel and distributed programming model that enables the execution of OpenMP tasks on remote nodes of a High Performance Computing (HPC) cluster. With OMPC, it is possible to develop applications capable of scaling from a single machine to a robust supercomputer only using OpenMP directives. This characteristic makes OMPC a promising alternative to combin…
The goal of this project is the creation of a compiler-generated parallel code runtime model for remote, distributed execution in computer clusters of the cloud. The ideas here discussed aim at implementing and consolidating OpenMR, a novel programming model, proposed at IC-Unicamp, that extends the existing Open Multi Processing (OpenMP) Application Program Interface (API), to allow a pr…
The goal of this project is the creation of a compiler-generated parallel code runtime model for remote, distributed execution in computer clusters of the cloud. The ideas here discussed aim at implementing and consolidating OpenMR, a novel programming model, proposed at IC-Unicamp, that extends the existing Open Multi Processing (OpenMP) Application Program Interface (API), to allow a pr…
In this project, we aim to tackle the complexities of programming modern cloud clusters containing heterogeneous components such as CPUs and GPUs. Indeed, modern scientific applications need to exploit all type of parallel programming pattern to reach the performance goals. Computation offloading is a programming model in which program fragments (e.g. hot loops) are annotated so that thei…
| 1 / 1 | Ongoing scholarships in Brazil |
| 2 / 2 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 4 / 4 | All Scholarships |
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