Enabling user-driven Checkpointing strategies in Reverse-mode Automatic Differentiation - Laurent Hascoët; Mauricio Araya-Polo (CoRR, 2006)

Exploiting memory customization in FPGA for 3D stencil computations. - Muhammad Shafiq 003; Miquel Pericàs; Raúl de la Cruz; Mauricio Araya-Polo; Nacho Navarro; Eduard Ayguadé (FPT, 2009)

Introducing the Semi-stencil Algorithm. - Raúl de la Cruz; Mauricio Araya-Polo; José María Cela (PPAM (1), 2009)

High-Performance Reverse Time Migration on GPU. - Javier Cabezas; Mauricio Araya-Polo; Isaac Gelado; Nacho Navarro; Enric Morancho; José María Cela (SCCC, 2009)

3D seismic imaging through reverse-time migration on homogeneous and heterogeneous multi-core processors. - Mauricio Araya-Polo; Félix Rubio; Raúl de la Cruz; Mauricio Hanzich; José María Cela; Daniele Paolo Scarpazza (Sci. Program., 2009)

Towards a Multi-Level Cache Performance Model for 3D Stencil Computation. - Raúl de la Cruz; Mauricio Araya-Polo (ICCS, 2011)

Assessing Accelerator-Based HPC Reverse Time Migration. - Mauricio Araya-Polo; Javier Cabezas; Mauricio Hanzich; Miquel Pericàs; Félix Rubio; Isaac Gelado; Muhammad Shafiq 003; Enric Morancho; Nacho Navarro; Eduard Ayguadé; José María Cela; Mateo Valero (IEEE Trans. Parallel Distributed Syst., 2011)

Filesystem Aware Scalable I/O Framework for Data-Intensive Parallel Applications. - Rengan Xu; Mauricio Araya-Polo; Barbara M. Chapman (IPDPS Workshops, 2013)

Parallel sparse FFT. - Cheng Wang; Mauricio Araya-Polo; Sunita Chandrasekaran; Amik St.-Cyr; Barbara M. Chapman; Detlef Hohl (IA3@SC, 2013)

Using GPU Shared Memory with a Directive-Based Approach. - Wei Ding 003; Ligang Lu; Mauricio Araya-Polo; Amik St.-Cyr; Detlef Hohl; Barbara M. Chapman (IPDPS Workshops, 2014)

Modeling Stencil Computations on Modern HPC Architectures. - Raúl de la Cruz; Mauricio Araya-Polo (PMBS@SC, 2014)

Algorithm 942: Semi-Stencil. - Raúl de la Cruz; Mauricio Araya-Polo (ACM Trans. Math. Softw., 2014)

Learning with a Wasserstein Loss. - Charlie Frogner; Chiyuan Zhang; Hossein Mobahi; Mauricio Araya-Polo; Tomaso A. Poggio (NIPS, 2015)

Simulating stencil-based application on future Xeon Phi processor. - Chitra Natarajan; Carl J. Beckmann; Anthony Nguyen; Mauricio Araya-Polo; Tryggve Fossum; Detlef Hohl (PMBS@SC, 2015)

Performance Analysis and Optimization of a Hybrid Seismic Imaging Application. - Sri Raj Paul; Mauricio Araya-Polo; John M. Mellor-Crummey; Detlef Hohl (ICCS, 2016)

A survey of sparse matrix-vector multiplication performance on large matrices. - Max Grossman; Christopher Thiele; Mauricio Araya-Polo; Florian Frank 001; Faruk O. Alpak; Vivek Sarkar (CoRR, 2016)

Performance Analysis and Optimization of a Hybrid Distributed Reverse Time Migration Application. - Sri Raj Paul; John M. Mellor-Crummey; Mauricio Araya-Polo; Detlef Hohl (CoRR, 2016)

Inexact hierarchical scale separation: A two-scale approach for linear systems from discontinuous Galerkin discretizations. - Christopher Thiele; Mauricio Araya-Polo; Faruk O. Alpak; Beatrice Riviere; Florian Frank 001 (Comput. Math. Appl., 2017)

Evaluating Performance of OpenMP Tasks in a Seismic Stencil Application. - Eric Raut; Jie Meng; Mauricio Araya-Polo; Barbara M. Chapman (IWOMP, 2020)

Accelerating High-Order Stencils on GPUs. - Ryuichi Sai; John M. Mellor-Crummey; Xiaozhu Meng; Mauricio Araya-Polo; Jie Meng (PMBS@SC, 2020)

Deep Neural Network Learning with Second-Order Optimizers - a Practical Study with a Stochastic Quasi-Gauss-Newton Method. - Christopher Thiele; Mauricio Araya-Polo; Detlef Hohl (CoRR, 2020)

Minimod: A Finite Difference solver for Seismic Modeling. - Jie Meng; Andreas Atle; Henri Calandra; Mauricio Araya-Polo (CoRR, 2020)

Evaluation of Distributed Tasks in Stencil-based Application on GPUs. - Eric Raut; Jonathon M. Anderson; Mauricio Araya-Polo; Jie Meng (ESPM2@SC, 2021)

Using the Semi-Stencil Algorithm to Accelerate High-Order Stencils on GPUs. - Ryuichi Sai; John M. Mellor-Crummey; Xiaozhu Meng; Mauricio Araya-Polo; Jie Meng (PMBS, 2021)

Porting and Evaluation of a Distributed Task-driven Stencil-based Application. - Eric Raut; Jonathon M. Anderson; Mauricio Araya-Polo; Jie Meng (PMAM@PPoPP, 2021)

Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows. - Amir Adler; Mauricio Araya-Polo; Tomaso A. Poggio (IEEE Signal Process. Mag., 2021)

ParticleGrid: Enabling Deep Learning using 3D Representation of Materials. - Shehtab Zaman; Ethan Ferguson; Cécile Pereira; Denis Akhiyarov; Mauricio Araya-Polo; Kenneth Chiu (e-Science, 2022)

Towards Efficient Remote OpenMP Offloading. - Wenbin Lu; Baodi Shan; Eric Raut; Jie Meng; Mauricio Araya-Polo; Johannes Doerfert; Abid Muslim Malik; Barbara M. Chapman (IWOMP, 2022)

Scalable Distributed High-Order Stencil Computations. - Mathias Jacquelin; Mauricio Araya-Polo; Jie Meng (SC, 2022)

Accelerating high-order stencils on GPUs. - Ryuichi Sai; John M. Mellor-Crummey; Xiaozhu Meng; Keren Zhou 001; Mauricio Araya-Polo; Jie Meng (Concurr. Comput. Pract. Exp., 2022)

Massively scalable stencil algorithm. - Mathias Jacquelin; Mauricio Araya-Polo; Jie Meng (CoRR, 2022)

Inversion of Time-Lapse Surface Gravity Data for Detection of 3D CO2 Plumes via Deep Learning. - Adrian Celaya; Bertrand Denel; Yen Sun; Mauricio Araya-Polo; Antony Price (CoRR, 2022)

MPI-based Remote OpenMP Offloading: A More Efficient and Easy-to-use Implementation. - Baodi Shan; Mauricio Araya-Polo; Abid M. Malik; Barbara M. Chapman (PMAM@PPoPP, 2023)

Application of quantum-inspired generative models to small molecular datasets. - Charles Moussa; Hao Wang 025; Mauricio Araya-Polo; Thomas Bäck; Vedran Dunjko (QCE, 2023)

Massively Distributed Finite-Volume Flux Computation. - Ryuichi Sai; Mathias Jacquelin; François P. Hamon; Mauricio Araya-Polo; Randolph R. Settgast (SC Workshops, 2023)

Learning CO2 plume migration in faulted reservoirs with Graph Neural Networks. - Xin Ju 002; François P. Hamon; Gege Wen; Rayan Kanfar; Mauricio Araya-Polo; Hamdi A. Tchelepi (CoRR, 2023)

Towards Accelerating High-Order Stencils on Modern GPUs and Emerging Architectures with a Portable Framework. - Ryuichi Sai; Jinfan Xu; Mauricio Araya-Polo; John M. Mellor-Crummey (CoRR, 2023)

Joint inversion of Time-Lapse Surface Gravity and Seismic Data for Monitoring of 3D CO2 Plumes via Deep Learning. - Adrian Celaya; Mauricio Araya-Polo (CoRR, 2023)

Deep Compressed Learning for 3D Seismic Inversion. - Maayan Gelboim; Amir Adler; Yen Sun; Mauricio Araya-Polo (CoRR, 2023)

STRIDE: Structure-guided Generation for Inverse Design of Molecules. - Shehtab Zaman; Denis Akhiyarov; Mauricio Araya-Polo; Kenneth Chiu (CoRR, 2023)

Distributed Reinforcement Learning for Molecular Design: Antioxidant case. - Huanyi Qin; Denis Akhiyarov; Sophie Loehlé; Kenneth Chiu; Mauricio Araya-Polo (CoRR, 2023)

Encoder-Decoder Architecture for 3D Seismic Inversion. - Maayan Gelboim; Amir Adler; Yen Sun; Mauricio Araya-Polo (Sensors, 2023)

Inversion of Time-Lapse Surface Gravity Data for Detection of 3-D CO2 Plumes via Deep Learning. - Adrian Celaya; Bertrand Denel; Yen Sun; Mauricio Araya-Polo; Antony Price (IEEE Trans. Geosci. Remote. Sens., 2023)

Learning-Based Seismic Velocity Inversion with Synthetic and Field Data. - Stuart Farris; Robert G. Clapp; Mauricio Araya-Polo (Sensors, 2023)

Evaluation of Programming Models and Performance for Stencil Computation on GPGPUs. - Baodi Shan; Mauricio Araya-Polo (IPDPS (Workshops), 2024)

Towards a Scalable and Efficient PGAS-Based Distributed OpenMP. - Baodi Shan; Mauricio Araya-Polo; Barbara M. Chapman (IWOMP, 2024)

Evaluation of Directive-Based Programming Models for Stencil Computation on Current GPGPU Architectures. - Baodi Shan; Mauricio Araya-Polo; Barbara M. Chapman (IWOMP, 2024)

Inversion of Time-Lapse Surface Gravity Data for Monitoring of 3D CO2 Plumes via Physics Informed Neural Networks. - Adrian Celaya; Bertrand Denel; Yen Sun; Mauricio Araya-Polo (PP, 2024)

Matrix-Free Finite Volume Kernels on a Dataflow Architecture. - Ryuichi Sai; François P. Hamon; John M. Mellor-Crummey; Mauricio Araya-Polo (SC, 2024)

Automated Code Generation of High-Order Stencils for a Dataflow Architecture. - Ryuichi Sai; John M. Mellor-Crummey; Jinfan Xu; Mauricio Araya-Polo (SC, 2024)

Evaluation of Programming Models and Performance for Stencil Computation on Current GPU Architectures. - Baodi Shan; Mauricio Araya-Polo (CoRR, 2024)

Learning CO2 plume migration in faulted reservoirs with Graph Neural Networks. - Xin Ju 002; François P. Hamon; Gege Wen; Rayan Kanfar; Mauricio Araya-Polo; Hamdi A. Tchelepi (Comput. Geosci., 2024)

DiOMP-Offloading: Toward Portable Distributed Heterogeneous OpenMP. - Baodi Shan; Mauricio Araya-Polo; Barbara M. Chapman (CoRR, 2025)