Evaluating graph coloring on GPUs. - Andre Vincent Pascal Grosset; Peihong Zhu; Shusen Liu 001; Suresh Venkatasubramanian; Mary W. Hall (PPoPP, 2011)

Depth of Field Effects for Interactive Direct Volume Rendering. - Mathias Schott; Andre Vincent Pascal Grosset; Tobias Martin; Vincent Pegoraro; Sean T. Smith; Charles D. Hansen (Comput. Graph. Forum, 2011)

Combined surface and volumetric occlusion shading. - Mathias Schott; Tobias Martin; Andre Vincent Pascal Grosset; Carson Brownlee; Thomas Höllt; Benjamin Brown; Sean T. Smith; Charles D. Hansen (PacificVis, 2012)

Evaluation of Depth of Field for depth perception in DVR. - Andre Vincent Pascal Grosset; Mathias Schott; Georges-Pierre Bonneau; Charles D. Hansen (PacificVis, 2013)

Ambient Occlusion Effects for Combined Volumes and Tubular Geometry. - Mathias Schott; Tobias Martin; Andre Vincent Pascal Grosset; Sean T. Smith; Charles D. Hansen (IEEE Trans. Vis. Comput. Graph., 2013)

TOD-Tree: Task-Overlapped Direct send Tree Image Compositing for Hybrid MPI Parallelism. - Andre Vincent Pascal Grosset; Manasa Prasad; Cameron Christensen; Aaron Knoll; Charles D. Hansen (EGPGV@EuroVis, 2015)

Dynamically Scheduled Region-Based Image Compositing. - Andre Vincent Pascal Grosset; Aaron Knoll; Charles D. Hansen (EGPGV@EuroVis, 2016)

Investigating Depth of Field in Volume Rendering and Distributed Volume Rendering on High Performance Computing Systems. - Pascal Grosset (2016)

TOD-Tree: Task-Overlapped Direct Send Tree Image Compositing for Hybrid MPI Parallelism and GPUs. - Andre Vincent Pascal Grosset; Manasa Prasad; Cameron Christensen; Aaron Knoll; Charles D. Hansen (IEEE Trans. Vis. Comput. Graph., 2017)

Galaxy: Asynchronous Ray Tracing for Large High-Fidelity Visualization. - Greg Abram; Paul A. Navrátil; Pascal Grossett; David H. Rogers 001; James P. Ahrens (LDAV, 2018)

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 (IPDPS, 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 001; Daniel Livescu; James P. Ahrens (SC, 2020)

Personalized In Situ Steering for Analysis and Visualization. - Pascal Grosset; Jesus Pulido; James P. Ahrens (ISAV@SC, 2020)

Evaluation of PyTorch as a Data-Parallel Programming API for GPU Volume Rendering. - Nathan Marshak; Pascal Grosset; Aaron Knoll; James P. Ahrens; Chris R. Johnson 001 (EGPGV@EuroVis, 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 (HPDC, 2021)

Lightweight Interface for In Situ Analysis and Visualization of Particle Data. - Pascal Grosset; James P. Ahrens (ISAV@SC, 2021)

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 (HPDC, 2022)

Analyzing the Impact of Lossy Data Reduction on Volume Rendering of Cosmology Data. - Jinzhen Wang; Pascal Grosset; Terece L. Turton; James P. Ahrens (DRBSD@SC, 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)

Analytic Rendering and Hardware-Accelerated Simulation for Scientific Applications. - Paul A. Navrátil; Christiaan P. Gribble; Pascal Grosset; John E. Stone (Comput. Sci. Eng., 2022)

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 (SC Workshops, 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 008; Bo Fang 002; Zarija Lukic; Franck Cappello; et al. (SC, 2023)

TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. - Daoce Wang; Jesus Pulido; Pascal Grosset; Sian Jin; Jiannan Tian; Kai Zhao 008; James P. Ahrens; Dingwen Tao (CoRR, 2023)

An Exploration of How Volume Rendering is Impacted by Lossy Data Reduction. - Yanni Etchi; Daoce Wang; Pascal Grosset; Terece L. Turton; James P. Ahrens; David H. Rogers 001 (SC Workshops, 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 008; Zarija Lukic; Axel Huebl; Zhe Wang 059; James P. Ahrens; Dingwen Tao (SC, 2024)

TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. - Daoce Wang; Jesus Pulido; Pascal Grosset; Sian Jin; Jiannan Tian; Kai Zhao 008; James P. Ahrens; Dingwen Tao (IEEE Trans. Parallel Distributed Syst., 2024)

LCP: Enhancing Scientific Data Management with Lossy Compression for Particles. - Longtao Zhang; Ruoyu Li; Congrong Ren; Sheng Di; Jinyang Liu 003; Jiajun Huang 001; Robert Underwood; Pascal Grosset; Dingwen Tao; Xin Liang 001; Hanqi Guo 001; Franck Cappello; et al. (Proc. ACM Manag. Data, 2025)