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Amanda Sabatini Dufek

photo 2020 06 30 18.34.42
Amanda Dufek, Ph.D.
Postdoctoral Researcher
NESAP for Simulations

Biographical Sketch


Amanda Sabatini Dufek is a NERSC Exascale Science Applications Postdoctoral Fellow at Lawrence Berkeley National Laboratory since January 2020. The main goal of her current NESAP project for the simulation program consists of adding two new diagonal ceilings to the roofline model relative to NIC and PCI-e bandwidths to provide insights into how the communication operations are impacting the overall performance of some benchmark problems -- some of them including ScaLAPACK, NSF ELPA and ECP SLATE libraries.

She received her Bachelor (2005) and Master (2008) degrees in Meteorology from the University of São Paulo, Brazil, and her Doctor (2015) degree in Computational Modeling from the National Laboratory for Scientific Computing (LNCC), Brazil. She was Assistant Professor of the Department of Atmospheric Sciences at University of São Paulo from 2008-2009. Her research interests are: high-performance computing, machine learning, evolutionary algorithms and meteorological problems.

As an Institutional Training Program Fellow at LNCC (2016-2019), a multi- and many-threaded heterogeneous parallel version of the Grammatical Evolution algorithm was developed in order to achieve a fully parallel implementation, where both the breeding and evaluation are parallelized. A cooperative algorithmic-level parallel model was also implemented, in which many independent runs of the algorithm are launched simultaneously in a parallel cooperative way. It is a Free Software written in C/C++, OpenMP and OpenCL, freely available at http://github.com/daaugusto/ppi. She also developed a many-threaded parallel version of a bi-level optimization algorithm using an evolutionary method known as Differential Evolution, where both levels are parallelized. It has been written in C/C++ and OpenCL, whose implementation basically consists of a nested execution of two OpenCL kernels.

Journal Articles


  1. Dufek, A. S., Augusto, D. A., Barbosa, H. J. C., Silva Dias, P. L. Data-driven symbolic ensemble models for wind speed forecasting through evolutionary algorithms, Applied Soft Computing, v.87, p.105976, 2020.
  2. Dufek, A. S., Augusto, D. A., Silva Dias, P. L., Barbosa, H. J. C. Application of evolutionary computation on ensemble forecast of quantitative precipitation, Computers & Geosciences, v.106, p.139-149, 2017.
  3. Dufek, A. S., Ambrizzi, T., Rocha, R. P. Are Reanalysis data useful to calculate climate indices over South America?, Annals of the New York Academy of Sciences, v.1146, p.87-104, 2008.
  4. Dufek, A. S., Ambrizzi, T. Precipitation variability in São Paulo State, Brazil, Theoretical and Applied Climatology, v.93, p.167-178, 2008.
  5. Dufek, A. S., Ambrizzi, T. Variabilidade climática da temperatura no Estado de São Paulo, Revista de Iniciação Cientíca (USP), v.7, p.23-29, 2005.

Conference Papers


  1. Dufek, A. S., Augusto, D. A., Silva Dias, P. L., Barbosa, H. J. C. Evaluating the feasibility of grammar-based GP in combining meteorological forecast models, In IEEE Congress on Evolutionary Computation (CEC), Cancun, Mexico, 2013.
  2. Dufek, A. S., Augusto, D. A., Silva Dias, P. L., Barbosa, H. J. C. Grammatical evolution for data classication: Application to real meteorological data sets, In Proceedings of the XXXII Iberian Latin American Congress on Computational Methods in Engineering (CILAMCE), Ouro Preto, MG, Brazil, 2011.
  3. Dutra, L. M. M., Peres, J. R. R., Dufek, A. S., Camargo, R. Rastreamento dos bloqueios ocorridos próximos à América do Sul em julho de 2008 e 2009 e sua inuência sobre São Paulo e a Região Sul do Brasil, In XVI Congresso Brasileiro de Meteorologia, Belém, PA, Brasil, 2010.

Book Chapters


  1. Dufek, A. S., Augusto, D. A., Barbosa, H. J. C., Silva Dias, P. L. Handbook of Grammatical Evolution, chapter Multi- and many-threaded heterogeneous parallel grammatical evolution, Conor Ryan, Michael O'Neill, John J. Collins, editors, Springer International Publishing, p.219-244, 2018.