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ORCIDDanilo Carastan-Santos
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2020 – today
- 2024
[c13]Danilo Carastan-Santos
, Georges Da Costa, Millian Poquet, Patricia Stolf, Denis Trystram:
Light-Weight Prediction for Improving Energy Consumption in HPC Platforms. Euro-Par (1) 2024: 152-165- 2023
- [c12]Danilo Carastan-Santos, Krzysztof Rzadca, Leonel Sousa, Denis Trystram:
Social and Environmental Effects of Post-COVID-19 Computer Science Virtual Conferencing: The Euro-Par Case. ICT4S 2023: 132-141 - [c11]Lucas Rosa, Danilo Carastan-Santos, Alfredo Goldman:
An Experimental Analysis of Regression-Obtained HPC Scheduling Heuristics. JSSPP 2023: 116-136 - 2022
- [c10]Danilo Carastan-Santos, Thi Hoang Thi Pham:
Understanding the Energy Consumption of HPC Scale Artificial Intelligence. CARLA 2022: 131-144 - 2021
- [j3]Valéria Soldera Girelli, Francis B. Moreira, Matheus S. Serpa, Danilo Carastan-Santos, Philippe O. A. Navaux:
Investigating memory prefetcher performance over parallel applications: From real to simulated. Concurr. Comput. Pract. Exp. 33(18) (2021) - [c9]Danilo Carastan-Santos, Anderson Andrei Da Silva, Alfredo Goldman, Angan Mitra, Yanik Ngoko, Clément Mommessin, Denis Trystram:
Short-Term Ambient Temperature Forecasting for Smart Heaters. ISCC 2021: 1-6 - 2020
- [c8]Matheus W. Camargo, Matheus S. Serpa, Danilo Carastan-Santos, Alexandre Carissimi, Philippe O. A. Navaux:
Accelerating Machine Learning Algorithms with TensorFlow Using Thread Mapping Policies. CARLA 2020: 62-70 - [c7]Francis B. Moreira, Danilo Carastan-Santos, Philippe O. A. Navaux:
Attesting L-3 General Program Anomaly Detection Efficiency with SPADA. ISCC 2020: 1-6
2010 – 2019
- 2019
- [j2]Danilo Carastan-Santos, David Correa Martins Jr., Siang W. Song, Luiz C. S. Rozante, Raphael Y. de Camargo:
A hybrid CPU-GPU-MIC algorithm for minimal hitting set enumeration. Concurr. Comput. Pract. Exp. 31(18) (2019) - [c6]Carlos Reynaldo Portocarrero Tovar, Eloi Araujo, Danilo Carastan-Santos, David Correa Martins, Luiz C. S. Rozante:
Finding Attractors in Biological Models Based on Boolean Dynamical Systems Using Hitting Set. BIBE 2019: 235-239 - [c5]Danilo Carastan-Santos, Raphael Y. de Camargo, Denis Trystram, Salah Zrigui:
One Can Only Gain by Replacing EASY Backfilling: A Simple Scheduling Policies Case Study. CCGRID 2019: 1-10 - [c4]Luis Sant'Ana, Danilo Carastan-Santos, Daniel Cordeiro, Raphael Y. de Camargo:
Real-Time Scheduling Policy Selection from Queue and Machine States. CCGRID 2019: 381-390 - 2018
- [c3]Luis Felipe Sant'Ana, Danilo Carastan-Santos, Daniel Cordeiro, Raphael Y. de Camargo:
Analysis of Potential Online Scheduling Improvements by Real-Time Strategy Selection. WSCAD 2018: 1-7 - 2017
- [j1]Danilo Carastan-Santos, Raphael Y. de Camargo, David Correa Martins Jr., Siang W. Song, Luiz C. S. Rozante:
Finding exact hitting set solutions for systems biology applications using heterogeneous GPU clusters. Future Gener. Comput. Syst. 67: 418-429 (2017) - [c2]Danilo Carastan-Santos, Raphael Y. de Camargo:
Obtaining dynamic scheduling policies with simulation and machine learning. SC 2017: 32 - 2015
- [c1]Danilo Carastan-Santos, Raphael Yokoingawa de Camargo, David Correa Martins, Siang Wun Song, Luiz Carlos Silva Rozante, Fabrizio Ferreira Borelli:
A Multi-GPU Hitting Set Algorithm for GRNs Inference. CCGRID 2015: 313-322
Coauthor Index
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