A Multi-GPU Hitting Set Algorithm for GRNs Inference. - Danilo Carastan-Santos; Raphael Yokoingawa de Camargo; David Correa Martins; Siang Wun Song; Luiz Carlos Silva Rozante; Fabrizio Ferreira Borelli (CCGRID, 2015)

Obtaining dynamic scheduling policies with simulation and machine learning. - Danilo Carastan-Santos; Raphael Y. de Camargo (SC, 2017)

Finding exact hitting set solutions for systems biology applications using heterogeneous GPU clusters. - Danilo Carastan-Santos; Raphael Y. de Camargo; David Correa Martins Jr.; Siang W. Song; Luiz C. S. Rozante (Future Gener. Comput. Syst., 2017)

Analysis of Potential Online Scheduling Improvements by Real-Time Strategy Selection. - Luis Felipe Sant'Ana; Danilo Carastan-Santos; Daniel Cordeiro; Raphael Y. de Camargo (WSCAD, 2018)

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; Luiz C. S. Rozante (BIBE, 2019)

One Can Only Gain by Replacing EASY Backfilling: A Simple Scheduling Policies Case Study. - Danilo Carastan-Santos; Raphael Y. de Camargo; Denis Trystram; Salah Zrigui (CCGRID, 2019)

Real-Time Scheduling Policy Selection from Queue and Machine States. - Luis Sant'Ana; Danilo Carastan-Santos; Daniel Cordeiro; Raphael Y. de Camargo (CCGRID, 2019)

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; Raphael Y. de Camargo (Concurr. Comput. Pract. Exp., 2019)

Accelerating Machine Learning Algorithms with TensorFlow Using Thread Mapping Policies. - Matheus W. Camargo; Matheus S. Serpa; Danilo Carastan-Santos; Alexandre Carissimi; Philippe O. A. Navaux (CARLA, 2020)

Attesting L-3 General Program Anomaly Detection Efficiency with SPADA. - Francis B. Moreira 001; Danilo Carastan-Santos; Philippe O. A. Navaux (ISCC, 2020)

Short-Term Ambient Temperature Forecasting for Smart Heaters. - Danilo Carastan-Santos; Anderson Andrei Da Silva; Alfredo Goldman; Angan Mitra; Yanik Ngoko; Clément Mommessin; Denis Trystram (ISCC, 2021)

Investigating memory prefetcher performance over parallel applications: From real to simulated. - Valéria Soldera Girelli; Francis B. Moreira 001; Matheus S. Serpa; Danilo Carastan-Santos; Philippe O. A. Navaux (Concurr. Comput. Pract. Exp., 2021)

Understanding the Energy Consumption of HPC Scale Artificial Intelligence. - Danilo Carastan-Santos; Thi Hoang Thi Pham (CARLA, 2022)

Social and Environmental Effects of Post-COVID-19 Computer Science Virtual Conferencing: The Euro-Par Case. - Danilo Carastan-Santos; Krzysztof Rzadca; Leonel Sousa; Denis Trystram (ICT4S, 2023)

An Experimental Analysis of Regression-Obtained HPC Scheduling Heuristics. - Lucas Rosa; Danilo Carastan-Santos; Alfredo Goldman (JSSPP, 2023)

Light-Weight Prediction for Improving Energy Consumption in HPC Platforms. - Danilo Carastan-Santos; Georges Da Costa; Millian Poquet; Patricia Stolf; Denis Trystram (Euro-Par (1), 2024)

Allocation Strategies for Disaggregated Memory in HPC Systems. - Robin Boëzennec; Danilo Carastan-Santos; Fanny Dufossé; Guillaume Pallez (HiPC, 2024)

Run Your HPC Jobs in Eco-Mode: Revealing the Potential of User-Assisted Power Capping in Supercomputing Systems. - Luc Angelelli; Danilo Carastan-Santos; Pierre-François Dutot (JSSPP, 2024)

Artifact data of article "Light-weight prediction for improving energy consumption in HPC platforms", Euro-Par 2024. - Millian Poquet; Danilo Carastan-Santos; Georges Da Costa; Patricia Stolf; Denis Trystram (Zenodo, 2024)

Artifact data of article "Light-weight prediction for improving energy consumption in HPC platforms", Euro-Par 2024. - Millian Poquet; Danilo Carastan-Santos; Georges Da Costa; Patricia Stolf; Denis Trystram (Zenodo, 2024)

Artifact of the paper: Light-weight prediction for improving energy consumption in HPC platforms. - Millian Poquet; Danilo Carastan-Santos; Georges Da Costa; Patricia Stolf; Denis Trystram (Zenodo, 2024)

Artifact of the paper: Scheduling with lightweight predictions in power-constrained HPC platforms. - Millian Poquet; Danilo Carastan-Santos; Igor Fontana De Nardin; Georges Da Costa; Krzysztof Rzadca; Patricia Stolf; Denis Trystram (Zenodo, 2024)