A Simple BSP-based Model to Predict Execution Time in GPU Applications. - Marcos Amaris; Daniel Cordeiro; Alfredo Goldman; Raphael Y. de Camargo (HiPC, 2015)

OpenMP is Not as Easy as It Appears. - Rogério Aparecido Gonçalves; Marcos Amaris; Thiago Kenji Okada; Pedro Bruel; Alfredo Goldman (HICSS, 2016)

A comparison of GPU execution time prediction using machine learning and analytical modeling. - Marcos Amaris; Raphael Y. de Camargo; Mohamed Dyab; Alfredo Goldman; Denis Trystram (NCA, 2016)

Generic Algorithms for Scheduling Applications on Hybrid Multi-core Machines. - Marcos Amaris; Giorgio Lucarelli; Clément Mommessin; Denis Trystram (Euro-Par, 2017)

Autotuning CUDA compiler parameters for heterogeneous applications using the OpenTuner framework. - Pedro Bruel; Marcos Amaris; Alfredo Goldman (Concurr. Comput. Pract. Exp., 2017)

Generic algorithms for scheduling applications on heterogeneous multi-core platforms. - Marcos Amaris; Giorgio Lucarelli; Clément Mommessin; Denis Trystram (CoRR, 2017)

Generic algorithms for scheduling applications on heterogeneous platforms. - Marcos Amaris; Giorgio Lucarelli; Clément Mommessin; Denis Trystram (Concurr. Comput. Pract. Exp., 2019)

PDAWL: Profile-Based Iterative Dynamic Adaptive WorkLoad Balance on Heterogeneous Architectures. - Tongsheng Geng; Marcos Amaris; Stéphane Zuckerman; Alfredo Goldman; Guang R. Gao; Jean-Luc Gaudiot (JSSPP, 2020)

Efficient Prediction of Region-wide Traffic States in Public Bus Networks using LSTMs. - Marcos Amaris; Mayuri A. Morais; Raphael Y. de Camargo (ITSC, 2021)

A Profile-Based AI-Assisted Dynamic Scheduling Approach for Heterogeneous Architectures. - Tongsheng Geng; Marcos Amaris; Stéphane Zuckerman; Alfredo Goldman; Guang R. Gao; Jean-Luc Gaudiot (Int. J. Parallel Program., 2022)

Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques. - Marcos Amaris; Raphael Y. de Camargo; Daniel Cordeiro; Alfredo Goldman; Denis Trystram (J. Parallel Distributed Comput., 2023)

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. - Rafael Ferreira da Silva; Deborah Bard; Kyle Chard; Shaun De Witt; Ian T. Foster; Tom Gibbs; Carole A. Goble; William F. Godoy; Johan Gustafsson 001; Utz-Uwe Haus; Stephen Hudson; Shantenu Jha; et al. (CoRR, 2024)

LAWS: Language Annotation Web System Using ELAN Format. - Jeremias Kalebe Estumano; Antônia Fernanda de Souza Nogueira; Marcos Amaris (SBSI, 2025)