Direct Ph.D. student in the Computer Science Graduate Program at the Institute of Mathematics and Statistics, University of São Paulo (IME-USP), with over four years of research experience consolidated through FAPESP fellowships in technical training, scientific initiation, and research internships abroad. Interests focused on mathematical-computational problems, with an emphasis on high-performance computing, machine learning, and scheduling. (Source: Lattes Curriculum)
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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…
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…
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