Scholarship 23/09048-8 - Aprendizado computacional, Computação de alto desempenho - BV FAPESP
Advanced search
Start date
Betweenand

Sustainable Supercomputing: Energy Efficiency and Resource Management through Statistical Modeling and Machine Learning

Grant number: 23/09048-8
Support Opportunities:Scholarships in Brazil - Doctorate (Direct)
Start date until: September 01, 2024
End date until: July 31, 2028
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Principal Investigator:Alfredo Goldman vel Lejbman
Grantee:Lucas de Sousa Rosa
Host Institution: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Associated research grant:19/26702-8 - Trends on high performance computing, from resource management to new computer architectures, AP.TEM

Abstract

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 generate data on scheduling behavior in different scenarios, evaluate performance and energy efficiency metrics, as well as compare various methodologies. The project also aims to investigate an underexplored aspect of workload modeling: the representation of tasks' energy consumption. Finally, we intend to test these more sophisticated models by evaluating their representativeness.

News published in Agência FAPESP Newsletter about the scholarship:
More itemsLess items
Articles published in other media outlets ( ):
More itemsLess items
VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)

Please report errors in scientific publications list using this form.