Marcos Amaris
Title
Cited by
Cited by
Year
A comparison of GPU execution time prediction using machine learning and analytical modeling
M Amaris, RY de Camargo, M Dyab, A Goldman, D Trystram
2016 IEEE 15th International Symposium on Network Computing and Applications …, 2016
302016
Generic algorithms for scheduling applications on hybrid multi-core machines
M Amaris, G Lucarelli, C Mommessin, D Trystram
European Conference on Parallel Processing, 220-231, 2017
222017
A Simple BSP-based Model to Predict Execution Time in GPU Applications
M Amarís, D Cordeiro, A Goldman, RY de Camargo
22nd International Conference on High Performance Computing (HiPC), 285-294, 2015
182015
OpenMP is Not as Easy as It Appears
R Gonçalves, M Amarís, T Okada, P Bruel, A Goldman
49th Hawaii International Conference on System Sciences, 5742-5751, 2016
132016
Autotuning cuda compiler parameters for heterogeneous applications using the opentuner framework
P Bruel, M Amaris, A Goldman
Concurrency and Computation: Practice and Experience 29 (22), e3973, 2017
102017
Generic algorithms for scheduling applications on heterogeneous platforms
M Amaris, G Lucarelli, C Mommessin, D Trystram
Concurrency and Computation: Practice and Experience 31 (15), e4647, 2019
42019
Autotuning GPU Compiler Parameters Using OpenTuner
P Bruel, M Amarís, A Goldman
WSCAD'15 - XVI Simpósio em Sistemas Computacionais de Alto Desempenho, 13-23, 2015
32015
PDAWL: Profile-based Iterative Dynamic Adaptive WorkLoad Balance on Heterogeneous Architectures
T Geng, M Amaris, S Zuckerman, A Goldman, GR Gao, JL Gaudiot
Workshop on Job Scheduling Strategies for Parallel Processing, 145-162, 2020
22020
Modelagem e Predição temporal de Parâmetros de Qualidade de Água usando Redes Neurais Profundas
AV Anderson Almeida, Marcos Amaris, Bruno Merlin
XI Workshop de Computação Aplicada à Gestão de do Meio Ambiente e Recursos …, 2020
1*2020
Scheduling Moldable BSP Tasks on Clouds
TK Okada, M Amarís, AG vel Lejbman
Simpósio de Sistemas Computacionais de Alto Desempenho, 2015
12015
Performance Prediction Modeling of GPU Applications
M Amarís, RY de Camargo, A Goldman
2017
Science 2.0: Uma ciência aberta
I Soares Bandeira, M Amarís, R Sampaio, TK Okada
2014
Intraemprendedorismo
M Amarís, MC Santos
2014
Medidas de similaridad de información basadas en compresión de datos
M Amarís, V Martinez, P Guillén
Comunicaciones en Estadística 5 (2), 169-186, 2013
2013
Máquinas de Aprendizaje No Supervisadas para la Clasificación de Senales Electrocardiográficas
M Amarís, V Martinez, P Guillén
8th International Seminar on Medical Information Processing and Analysis, 2012
2012
Aplicación de Software para la Clasificación de Senales Electrocardiográficas de Infarto Agudo de Miocardio Implementando
V Amarís González, Marcos. Martinez Abaunza
University of Santander - Colombia 19 (370), 2012
2012
Tratamiento de Señales en Dominios Fraccionarios de Fourier
M Amaris Gonzalez, RA Torres
2009
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Articles 1–17