In agreement with the research teams I worked with, my publication strategy value high-quality conferences (e.g., Core A-ranking conferences such as SC and CCgrid) and journals (e.g., FGCS, CCPE). As a junior researcher, I tend to prioritize conference publications over journals since conferences can leverage me to establish new scientific connections and collaborations.
When I work with undergraduate and Masters students, I also seek to foster their interaction with the research community and reward their research work by accepting publishing in B-ranking international conferences (e.g., ISCC) and regional conferences and workshops (e.g., CARLA and WSCAD). In this case, the goal is maximizing the students research experience, giving them the advantage to reach higher research positions, notably by acquiring a PhD student position.
In working with specific research teams, the publications list the authors alphabetically.

Jounal articles

  1. CCPE
    Investigating memory prefetcher performance over parallel applications: From real to simulated
    Valéria Soldera Girelli, Francis B. Moreira, Matheus S. Serpa, Danilo Carastan-Santos, and Philippe O. A. Navaux
    Concurr. Comput. Pract. Exp. 2021
  2. CCPE
    A hybrid CPU-GPU-MIC algorithm for minimal hitting set enumeration
    Danilo Carastan-Santos, David Correa Martins Jr., Siang W. Song, Luiz C. S. Rozante, and Raphael Y. Camargo
    Concurr. Comput. Pract. Exp. 2019
  3. FGCS
    Finding exact hitting set solutions for systems biology applications using heterogeneous GPU clusters
    Danilo Carastan-Santos, Raphael Y. Camargo, David Correa Martins Jr., Siang W. Song, and Luiz C. S. Rozante
    Future Gener. Comput. Syst. 2017

International conference papers

  1. ISCC 2021
    Short-Term Ambient Temperature Forecasting for Smart Heaters
    Danilo Carastan-Santos, Anderson Andrei Da Silva, Alfredo Goldman, Angan Mitra, Yanik Ngoko, Clément Mommessin, and Denis Trystram
    In IEEE Symposium on Computers and Communications, ISCC, Athens, Greece 2021
  2. ISCC 2020
    Attesting L-3 General Program Anomaly Detection Efficiency with SPADA
    Francis B. Moreira, Danilo Carastan-Santos, and Philippe O. A. Navaux
    In IEEE Symposium on Computers and Communications, ISCC, Rennes, France 2020
  3. CCGrid 2019
    One Can Only Gain by Replacing EASY Backfilling: A Simple Scheduling Policies Case Study
    Danilo Carastan-Santos, Raphael Y. Camargo, Denis Trystram, and Salah Zrigui
    In 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID, Larnaca, Cyprus 2019
  4. CCGrid 2019
    Real-Time Scheduling Policy Selection from Queue and Machine States
    Luis Sant’Ana, Danilo Carastan-Santos, Daniel Cordeiro, and Raphael Y. Camargo
    In 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID, Larnaca, Cyprus 2019
  5. BIBE 2019
    Finding Attractors in Biological Models Based on Boolean Dynamical Systems Using Hitting Set
    Carlos Reynaldo Portocarrero Tovar, Eloi Araujo, Danilo Carastan-Santos, David Correa Martins, and Luiz C. S. Rozante
    In 19th IEEE International Conference on Bioinformatics and Bioengineering, BIBE, Athens, Greece 2019
  6. SC 17
    Obtaining dynamic scheduling policies with simulation and machine learning
    Danilo Carastan-Santos, and Raphael Y. Camargo
    In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC, Denver, CO, USA 2017
  7. CCGrid 2015
    A Multi-GPU Hitting Set Algorithm for GRNs Inference
    Danilo Carastan-Santos, Raphael Yokoingawa Camargo, David Correa Martins, Siang Wun Song, Luiz Carlos Silva Rozante, and Fabrizio Ferreira Borelli
    In 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid, Shenzhen, China 2015

Regional conferences and workshops

  1. CARLA 2022
    Understanding the Energy Consumption of HPC Scale Artificial Intelligence
    Danilo Santos, and Thi Hoang Thi Pham
    In CARLA 2022 - Latin America High Performance Computing Conference Sep 2022
  2. CARLA 2020
    Accelerating Machine Learning Algorithms with TensorFlow Using Thread Mapping Policies
    Matheus W. Camargo, Matheus S. Serpa, Danilo Carastan-Santos, Alexandre Carissimi, and Philippe O. A. Navaux
    In High Performance Computing - 7th Latin American Conference, CARLA, Cuenca, Ecuador, Revised Selected Papers Sep 2020
  3. WSCAD 2020
    Otimização de Aplicações Paralelas em Aceleradores Vetoriais NEC SX-Aurora
    Félix Michels, Matheus Serpa, Danilo Carastan-Santos, Lucas Schnorr, and Philippe Navaux
    In Anais do XXI Simpósio em Sistemas Computacionais de Alto Desempenho Sep 2020
  4. WSCAD 2018
    Analysis of Potential Online Scheduling Improvements by Real-Time Strategy Selection
    Luis Felipe Sant’Ana, Danilo Carastan-Santos, Daniel Cordeiro, and Raphael Y. Camargo
    In Symposium on High Performance Computing Systems, WSCAD, São Paulo, Brazil Sep 2018
  5. WSCAD 2017
    A Hybrid CPU-GPU-MIC algorithm for the hitting set problem
    Danilo Carastan-Santos, David C Martins-Jr, Luiz CS Rozante, Siang W Song, and Raphael Y Camargo
    In Anais do XVIII Simpósio em Sistemas Computacionais de Alto Desempenho Sep 2017