Marcos Amaris

According to our database, Marcos Amaris authored at least 12 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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, Utz-Uwe Haus, Stephen Hudson, Shantenu Jha, Laila Los, Drew Paine, Frédéric Suter, Logan T. Ward, Sean R. Wilkinson, Marcos Amaris, Yadu N. Babuji, Jonathan Bader, Riccardo Balin, Daniel Balouek, Sarah J. Beecroft, Khalid Belhajjame, Rajat Bhattarai, Wes Brewer, Paul Brunk, Silvina Caíno-Lores, Henri Casanova, Daniela Cassol, Jared Coleman, Tainã Coleman, Iacopo Colonnelli, Anderson Andrei Da Silva, Daniel de Oliveira, Pascal Elahi, Nour Elfaramawy, Wael R. Elwasif, Brian Etz, Thomas Fahringer, Wesley Ferreira, Rosa Filgueira, Jacob Fosso Tande, Luiz Gadelha, Andy Gallo, Daniel Garijo, Yiannis Georgiou, Philipp Gritsch, Patricia Grubel, Amal Gueroudji, Quentin Guilloteau, Carlo Hamalainen, Rolando P. Hong Enriquez, Lauren Huet, Kevin Hunter Kesling, Paula Iborra, Shiva Jahangiri, Jan Janssen, Joe Jordan, Sehrish Kanwal, Liliane N. O. Kunstmann, Fabian Lehmann, Ulf Leser, Chen Li, Peini Liu, Jakob Lüttgau, Richard Lupat, José M. Fernández, Ketan Maheshwari, Tanu Malik, Jack Marquez, Motohiko Matsuda, Doriana Medic, Somayeh Mohammadi, Alberto Mulone, John-Luke Navarro, Kin Wai Ng, Klaus Nölp, Bruno de Paula Kinoshita, Ryan Prout, Michael R. Crusoe, Sashko Ristov, Stefan A Robila, Daniel Rosendo, Billy Rowell, Jedrzej Rybicki, Hector Sanchez, Nishant Saurabh, Sumit Kumar Saurav, Tom Scogland, Dinindu Senanayake, Woong Shin, Raül Sirvent, Tyler J. Skluzacek, Barry Sly-Delgado, Stian Soiland-Reyes, Abel Souza, Renan Souza, Domenico Talia, Nathan R. Tallent

CoRR, 2024

2023

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., January, 2023

2022

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

2021

Efficient Prediction of Region-wide Traffic States in Public Bus Networks using LSTMs.

Marcos Amaris, Mayuri A. Morais, Raphael Y. de Camargo

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

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

Proceedings of the Job Scheduling Strategies for Parallel Processing, 2020

2019

Generic algorithms for scheduling applications on heterogeneous platforms.

Marcos Amaris, Giorgio Lucarelli, Clément Mommessin, Denis Trystram

Concurr. Comput. Pract. Exp., 2019

2017

Generic algorithms for scheduling applications on heterogeneous multi-core platforms.

Marcos Amaris, Giorgio Lucarelli, Clément Mommessin, Denis Trystram

CoRR, 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 Hybrid Multi-core Machines.

Marcos Amaris, Giorgio Lucarelli, Clément Mommessin, Denis Trystram

Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017

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

Proceedings of the 15th IEEE International Symposium on Network Computing and Applications, 2016

OpenMP is Not as Easy as It Appears.

Rogério Aparecido Gonçalves, Marcos Amaris, Thiago Kenji Okada, Pedro Bruel, Alfredo Goldman

Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

2015

A Simple BSP-based Model to Predict Execution Time in GPU Applications.

Marcos Amaris, Daniel Cordeiro, Alfredo Goldman, Raphael Y. de Camargo

Proceedings of the 22nd IEEE International Conference on High Performance Computing, 2015