Jesus Pulido

24 papers A 7Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A conf
STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data.
SC
Daoce Wang, Pascal Grosset, Jesus Pulido, Jiannan Tian, Tushar M. Athawale, Jinda Jia, Baixi Sun, Boyuan Zhang, Sian Jin, Kai Zhao, James P. Ahrens, Fengguang Song
2025 J jnl
STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data.
CoRR
Daoce Wang, Pascal Grosset, Jesus Pulido, Jiannan Tian, Tushar M. Athawale, Jinda Jia, Baixi Sun, Boyuan Zhang, Sian Jin, Kai Zhao, James P. Ahrens, Fengguang Song
2024 A conf
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization.
SC
Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao
2024 J jnl
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization.
CoRR
Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao
2024 J jnl
TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations.
IEEE Trans. Parallel Distributed Syst.
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao
2023 A conf
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.
SC
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
2023 J jnl
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.
CoRR
Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Zarija Lukic, Kai Zhao, Bo Fang, Franck Cappello, James P. Ahrens, Dingwen Tao
2023 — conf
Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework.
SC Workshops
Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, James P. Ahrens, Dingwen Tao
2023 J jnl
Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework.
CoRR
Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, James P. Ahrens, Dingwen Tao
2023 J jnl
TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations.
CoRR
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao
2022 J jnl
Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.
CoRR
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao
2022 A conf
TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.
HPDC
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao
2021 A conf
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling.
HPDC
Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James P. Ahrens
2021 J jnl
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling.
CoRR
Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James P. Ahrens
2021 — conf
Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition.
EuroVis (Short Papers)
Jesus Pulido, John Patchett, Manish Bhattarai, Boian S. Alexandrov, James P. Ahrens
2020 A conf
Foresight: analysis that matters for data reduction.
SC
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
2020 — conf
Personalized In Situ Steering for Analysis and Visualization.
ISAV@SC
Pascal Grosset, Jesus Pulido, James P. Ahrens
2020 A conf
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations.
IPDPS
Sian Jin, Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Jiannan Tian, Dingwen Tao, James P. Ahrens
2020 J jnl
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations.
CoRR
Sian Jin, Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Jiannan Tian, Dingwen Tao, James P. Ahrens
2018 — conf
In situ data-driven adaptive sampling for large-scale simulation data summarization.
ISAV@SC
Ayan Biswas, Soumya Dutta, Jesus Pulido, James P. Ahrens
2018 J jnl
Remote visual analysis of large turbulence databases at multiple scales.
J. Parallel Distributed Comput.
Jesus Pulido, Daniel Livescu, Kalin Kanov, Randal C. Burns, Curtis Canada, James P. Ahrens, Bernd Hamann
2015 J jnl
A topology-based approach to computing neighborhood-of-interest points using the Morse complex.
J. Vis. Commun. Image Represent.
Ricardo Dutra da Silva, William Robson Schwartz, Hélio Pedrini, Jesus Pulido, Bernd Hamann
2014 — conf
Constructing Point Clouds from Underwater Stereo Movies.
ISVC (1)
Jesus Pulido, Ricardo Dutra da Silva, Dawn Y. Sumner, Hélio Pedrini, Bernd Hamann
2010 — conf
CBGIR: content-based geographic image retrieval.
GIS
Shawn D. Newsam, Daniel Leung, Oscar Caballero, Justin Floreza, Jesus Pulido