CV Lattes
ORCID
Google Scholar Citations
Universidade de São Paulo (USP). Instituto de Matemática e Estatística (IME) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Graduate at bacharelado em Matematica Aplicada from Universidade de São Paulo (1990), master's at Mathematics from Universidade de São Paulo (1994) and Ph.D. at Informatique et Systèmes from Institut National Polythecnique De Grenoble (1999). Currently is associated professor at IME - USP, chair at Technical Committee on Parallel Processing (TCPP) of the IEEE Computer Society, subject area editor of Parallel Computing, and participates in the program comitte of conferences as: XP, IPDPS, IEEE NCA, ICPP, JSSPP, SBAC, SBRC, SBES e SBQS. He was co-program chair in 2014 of IEEE NCA in Boston and SBAC-PAD in Paris. Has experience in Computer Science, acting on the following subjects: parallel and distributed computing, scheduling and agile methods. He is member of the Brazilian Computer Society (SBC), ACM and IEEE-CS. Chair of TCPP of IEEE CS. Elected member of the Board of Governors of IEEE CS (2025-27) (Source: Lattes Curriculum)
| News published in Agência FAPESP Newsletter about the researcher |
| More itemsLess items |
| TITULO |
| Articles published in other media outlets ( ): |
| More itemsLess items |
| VEICULO: TITULO (DATA) |
| VEICULO: TITULO (DATA) |
In this project we join efforts and expertise from several Computer Science re-searchers on High Performance Computing (HPC). Our main goal is to promote highimpact research on two areas of HPC: Resource Management and on New ComputerArchitectures. Each area is divided in various topics. Each topic is lead by an experiencedresearcher and it will be tackled with the help of collaborators a…
In this project we join efforts and expertise from several Computer Science re-searchers on High Performance Computing (HPC). Our main goal is to promote high impact research on two areas of HPC: resource management and on new computer architectures. Each area is divided in various topics. Each topic is lead by an experienced researcher and it will be tackled with the help of collaborator…
The future internet will result from the convergence of mobile computing with cloud computing, integrating large-scale systems constructed from the composition of thousands of distributed services, running on a large amount of physical and virtual machines, and managing large quantities of multimedia data generated from various sources while interacting directly with the physical world vi…
(Only some records are available in English at this moment)
This PhD research project addresses challenges in resource management and workload modeling in the field of supercomputing. The proposed strategy includes the use of automated techniques, such as machine learning and optimization based on design of experiments, taking into account energy aspects of tasks and platforms. We will carry out scheduling experiments via simulations, aiming to ge…
The use of High Performance Computing (HPC) has been increasing in the most different areas. At the same time that such platforms evolve in both size and complexity; its energy consumption also increases. In this sense, efforts are being made by researchers in an attempt to make a more efficient use of these platforms. In this work, we propose to contribute to these efforts by improving o…
Developing and integrating applications in the context of smart cities is not trivial, since it is essential to meet quality requirements such as scalability, interoperability and evolvability. Therefore, it is important that smart city platforms have an architecture that favors the fulfillment of these requirements. Therefore, understanding the architecture of a software, knowing its str…
(Only some records are available in English at this moment)
High-Performance Computing (HPC) systems are used to solve a number of complex issues in different fields of knowledge. However, these platforms have been rapidly evolving in size and complexity, and ensuring efficiency in managing applications (jobs) has become a challenge. Typically, this management involves scheduling heuristics that consist of functions to order jobs in an execution q…
Developing large software systems is not trivial, as these systems must satisfy quality attributes such as scalability and maintainability. Therefore, it is important that they have an architecture that favors the fulfillment of these attributes. Understanding the architecture of a software, knowing its structural aspects and patterns, is essential to be able to satisfy the desirable qual…
The Task Scheduling Paradigm is a general technique for leveraging fine and coarse parallelism from applications of several domains with minimum impact on code readability, relying on the automatic inference of data dependencies among tasks. The performance of Task Parallel applications is thus correlated with the speed at which the underlying Task Scheduling System is able to detect such…
(Only some records are available in English at this moment)
| 2 / 2 | Ongoing grants |
| 12 / 8 | Completed research grants |
| 2 / 2 | Ongoing scholarships in Brazil |
| 16 / 13 | Completed scholarships in Brazil |
| 6 / 6 | Completed scholarships abroad |
| 38 / 31 | All research grants and scholarships |
| Associated processes | |