Jesus Pulido

According to our database, Jesus Pulido authored at least 17 papers between 2010 and 2024.

Collaborative distances:

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

2024

TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations.

Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao

IEEE Trans. Parallel Distributed Syst., March, 2024

A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization.

Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao

CoRR, 2024

2023

TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations.

Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao

CoRR, 2023

AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.

Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Kai Zhao, Bo Fang, Zarija Lukic, Franck Cappello, James P. Ahrens, Dingwen Tao

Proceedings of the International Conference for High Performance Computing, 2023

Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework.

Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, James P. Ahrens, Dingwen Tao

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022

Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.

Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao

CoRR, 2022

TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.

Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao

Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

2021

Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition.

Jesus Pulido, John Patchett, Manish Bhattarai, Boian S. Alexandrov, James P. Ahrens

Proceedings of the 21st Eurographics Conference on Visualization, 2021

Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling.

Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James P. Ahrens

Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021

2020

Personalized In Situ Steering for Analysis and Visualization.

Pascal Grosset, Jesus Pulido, James P. Ahrens

Proceedings of the ISAV@SC 2020: ISAV'20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2020

Foresight: analysis that matters for data reduction.

Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Arvind T. Mohan, Ayan Biswas, John Patchett, Terece L. Turton, David H. Rogers, Daniel Livescu, James P. Ahrens

Proceedings of the International Conference for High Performance Computing, 2020

Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations.

Sian Jin, Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Jiannan Tian, Dingwen Tao, James P. Ahrens

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2018

Remote visual analysis of large turbulence databases at multiple scales.

Jesus Pulido, Daniel Livescu, Kalin Kanov, Randal C. Burns, Curtis Canada, James P. Ahrens, Bernd Hamann

J. Parallel Distributed Comput., 2018

In situ data-driven adaptive sampling for large-scale simulation data summarization.

Ayan Biswas, Soumya Dutta, Jesus Pulido, James P. Ahrens

Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2018

2015

A topology-based approach to computing neighborhood-of-interest points using the Morse complex.

Ricardo Dutra da Silva, William Robson Schwartz, Hélio Pedrini, Jesus Pulido, Bernd Hamann

J. Vis. Commun. Image Represent., 2015

2014

Constructing Point Clouds from Underwater Stereo Movies.

Jesus Pulido, Ricardo Dutra da Silva, Dawn Y. Sumner, Hélio Pedrini, Bernd Hamann

Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

2010

CBGIR: content-based geographic image retrieval.

Shawn D. Newsam, Daniel Leung, Oscar Caballero, Justin Floreza, Jesus Pulido

Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010