Mauricio Araya-Polo

Orcid: 0000-0002-5537-1840

Affiliations:
  • Shell international Exploration & Production Inc., Houston, USA


According to our database1, Mauricio Araya-Polo authored at least 44 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Learning-Based Seismic Velocity Inversion with Synthetic and Field Data.
Sensors, October, 2023

Inversion of Time-Lapse Surface Gravity Data for Detection of 3-D CO<sub>2</sub> Plumes via Deep Learning.
IEEE Trans. Geosci. Remote. Sens., 2023

Encoder-Decoder Architecture for 3D Seismic Inversion.
Sensors, 2023

Distributed Reinforcement Learning for Molecular Design: Antioxidant case.
CoRR, 2023

STRIDE: Structure-guided Generation for Inverse Design of Molecules.
CoRR, 2023

Deep Compressed Learning for 3D Seismic Inversion.
CoRR, 2023

Joint inversion of Time-Lapse Surface Gravity and Seismic Data for Monitoring of 3D CO<sub>2</sub> Plumes via Deep Learning.
CoRR, 2023

Towards Accelerating High-Order Stencils on Modern GPUs and Emerging Architectures with a Portable Framework.
CoRR, 2023

Learning CO<sub>2</sub> plume migration in faulted reservoirs with Graph Neural Networks.
CoRR, 2023

Massively Distributed Finite-Volume Flux Computation.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Application of quantum-inspired generative models to small molecular datasets.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

MPI-based Remote OpenMP Offloading: A More Efficient and Easy-to-use Implementation.
Proceedings of the 14th International Workshop on Programming Models and Applications for Multicores and Manycores, 2023

2022
Inversion of Time-Lapse Surface Gravity Data for Detection of 3D CO<sub>2</sub> Plumes via Deep Learning.
CoRR, 2022

Massively scalable stencil algorithm.
CoRR, 2022

Accelerating high-order stencils on GPUs.
Concurr. Comput. Pract. Exp., 2022

Scalable Distributed High-Order Stencil Computations.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

Towards Efficient Remote OpenMP Offloading.
Proceedings of the OpenMP in a Modern World: From Multi-device Support to Meta Programming, 2022

ParticleGrid: Enabling Deep Learning using 3D Representation of Materials.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021
Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows.
IEEE Signal Process. Mag., 2021

Porting and Evaluation of a Distributed Task-driven Stencil-based Application.
Proceedings of the PMAM@PPoPP 2021: Proceedings of the Twelfth International Workshop on Programming Models and Applications for Multicores and Manycores, 2021

Using the Semi-Stencil Algorithm to Accelerate High-Order Stencils on GPUs.
Proceedings of the 2021 International Workshop on Performance Modeling, 2021

Evaluation of Distributed Tasks in Stencil-based Application on GPUs.
Proceedings of the 6th IEEE/ACM International Workshop on Extreme Scale Programming Models and Middleware, 2021

2020
Minimod: A Finite Difference solver for Seismic Modeling.
CoRR, 2020

Deep Neural Network Learning with Second-Order Optimizers - a Practical Study with a Stochastic Quasi-Gauss-Newton Method.
CoRR, 2020

Accelerating High-Order Stencils on GPUs.
Proceedings of the 2020 IEEE/ACM Performance Modeling, 2020

Evaluating Performance of OpenMP Tasks in a Seismic Stencil Application.
Proceedings of the OpenMP: Portable Multi-Level Parallelism on Modern Systems, 2020

2017
Inexact hierarchical scale separation: A two-scale approach for linear systems from discontinuous Galerkin discretizations.
Comput. Math. Appl., 2017

2016
Performance Analysis and Optimization of a Hybrid Distributed Reverse Time Migration Application.
CoRR, 2016

A survey of sparse matrix-vector multiplication performance on large matrices.
CoRR, 2016

Performance Analysis and Optimization of a Hybrid Seismic Imaging Application.
Proceedings of the International Conference on Computational Science 2016, 2016

2015
Simulating stencil-based application on future Xeon Phi processor.
Proceedings of the 6th International Workshop on Performance Modeling, 2015

Learning with a Wasserstein Loss.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Algorithm 942: Semi-Stencil.
ACM Trans. Math. Softw., 2014

Modeling Stencil Computations on Modern HPC Architectures.
Proceedings of the High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, 2014

Using GPU Shared Memory with a Directive-Based Approach.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

2013
Parallel sparse FFT.
Proceedings of the 3rd Workshop on Irregular Applications - Architectures and Algorithms, 2013

Filesystem Aware Scalable I/O Framework for Data-Intensive Parallel Applications.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

2011
Assessing Accelerator-Based HPC Reverse Time Migration.
IEEE Trans. Parallel Distributed Syst., 2011

Towards a Multi-Level Cache Performance Model for 3D Stencil Computation.
Proceedings of the International Conference on Computational Science, 2011

2009
3D seismic imaging through reverse-time migration on homogeneous and heterogeneous multi-core processors.
Sci. Program., 2009

High-Performance Reverse Time Migration on GPU.
Proceedings of the 2009 International Conference of the Chilean Computer Science Society, 2009

Introducing the <i>Semi-stencil</i> Algorithm.
Proceedings of the Parallel Processing and Applied Mathematics, 2009

Exploiting memory customization in FPGA for 3D stencil computations.
Proceedings of the 2009 International Conference on Field-Programmable Technology, 2009

2006
Enabling user-driven Checkpointing strategies in Reverse-mode Automatic Differentiation
CoRR, 2006


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