Pascal Grosset

Orcid: 0000-0003-2192-3843

Affiliations:
  • Los Alamos National Laboratory, NM, USA


According to our database1, Pascal Grosset authored at least 24 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations.
IEEE Trans. Parallel Distributed Syst., March, 2024

2023
TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations.
CoRR, 2023

AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.
Proceedings of the International Conference for High Performance Computing, 2023

Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022
Analytic Rendering and Hardware-Accelerated Simulation for Scientific Applications.
Comput. Sci. Eng., 2022

Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.
CoRR, 2022

Analyzing the Impact of Lossy Data Reduction on Volume Rendering of Cosmology Data.
Proceedings of the 8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, 2022

TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

2021
Lightweight Interface for In Situ Analysis and Visualization of Particle Data.
Proceedings of the ISAV@SC 21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2021

Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling.
Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021

Evaluation of PyTorch as a Data-Parallel Programming API for GPU Volume Rendering.
Proceedings of the 21st Eurographics Symposium on Parallel Graphics and Visualization, 2021

2020
Personalized In Situ Steering for Analysis and Visualization.
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.
Proceedings of the International Conference for High Performance Computing, 2020

Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2018
Galaxy: Asynchronous Ray Tracing for Large High-Fidelity Visualization.
Proceedings of the 8th IEEE Symposium on Large Data Analysis and Visualization, 2018

2017
TOD-Tree: Task-Overlapped Direct Send Tree Image Compositing for Hybrid MPI Parallelism and GPUs.
IEEE Trans. Vis. Comput. Graph., 2017

2016
Investigating Depth of Field in Volume Rendering and Distributed Volume Rendering on High Performance Computing Systems.
PhD thesis, 2016

Dynamically Scheduled Region-Based Image Compositing.
Proceedings of the 16th Eurographics Symposium on Parallel Graphics and Visualization, 2016

2015
TOD-Tree: Task-Overlapped Direct send Tree Image Compositing for Hybrid MPI Parallelism.
Proceedings of the 15th Eurographics Symposium on Parallel Graphics and Visualization, 2015

2013
Ambient Occlusion Effects for Combined Volumes and Tubular Geometry.
IEEE Trans. Vis. Comput. Graph., 2013

Evaluation of Depth of Field for depth perception in DVR.
Proceedings of the IEEE Pacific Visualization Symposium, 2013

2012
Combined surface and volumetric occlusion shading.
Proceedings of the 2012 IEEE Pacific Visualization Symposium, 2012

2011
Depth of Field Effects for Interactive Direct Volume Rendering.
Comput. Graph. Forum, 2011

Evaluating graph coloring on GPUs.
Proceedings of the 16th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2011


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