GPU-based elastic-object deformation for enhancement of existing haptic applications. - Cristian Luciano; Pat P. Banerjee; Silvio H. R. Rizzi (CASE, 2007)

Automating the Extraction of 3D Models from Medical Images for Virtual Reality and Haptic Simulations. - Silvio H. R. Rizzi; Pat P. Banerjee; Cristian Luciano (CASE, 2007)

Virtual Reality and Haptic Interface for Cellular Injection Simulation. - P. Pat Banerjee; Silvio H. R. Rizzi; Cristian Luciano (MMVR, 2007)

Haptic interaction with volumetric datasets using surface-based haptic libraries. - Silvio H. R. Rizzi; Cristian Luciano; Pat P. Banerjee (HAPTICS, 2010)

Comparison of Algorithms for Haptic Interaction With Isosurfaces Extracted From Volumetric Datasets. - Silvio H. R. Rizzi; Cristian J. Luciano; P. Pat Banerjee (J. Comput. Inf. Sci. Eng., 2012)

Prototyping flexible touch screen devices using collocated haptic-graphic elastic-object deformation on the GPU. - Arun Rakesh Yoganandan; Pat P. Banerjee; Cristian Luciano; Silvio H. R. Rizzi (Virtual Real., 2012)

Estimation of Volume Rendering Efficiency with GPU in a Parallel Distributed Environment. - Cristian Federico Perez Montea; Fabiana Piccoli; Cristian Luciano; Silvio H. R. Rizzi; Germán Bianchini; Paola Caymes-Scutari (ICCS, 2013)

Performance Modeling of vl3 Volume Rendering on GPU-Based Clusters. - Silvio Rizzi 001; Mark Hereld; Joseph A. Insley; Michael E. Papka; Thomas D. Uram; Venkatram Vishwanath (EGPGV@EuroVis, 2014)

Large-Scale Simulations of Sky Surveys. - Katrin Heitmann; Salman Habib 002; Hal Finkel; Nicholas Frontiere; Adrian Pope; Vitali A. Morozov; Steve Rangel; Eve Kovacs; Juliana Kwan; Nan Li 022; Silvio Rizzi 001; Joseph A. Insley; et al. (Comput. Sci. Eng., 2014)

Large-Scale Parallel Visualization of Particle-Based Simulations using Point Sprites and Level-Of-Detail. - Silvio Rizzi 001; Mark Hereld; Joseph A. Insley; Michael E. Papka; Thomas D. Uram; Venkatram Vishwanath (EGPGV@EuroVis, 2015)

Streaming ultra high resolution images to large tiled display at nearly interactive frame rate with vl3. - Jie Jiang; Mark Hereld; Joseph A. Insley; Michael E. Papka; Silvio Rizzi 001; Thomas D. Uram; Venkatram Vishwanath (LDAV, 2015)

Large-scale co-visualization for LAMMPS using vl3. - Silvio Rizzi 001; Mark Hereld; Joseph A. Insley; Michael E. Papka; Thomas D. Uram; Venkatram Vishwanath (LDAV, 2015)

Coupling LAMMPS and the vl3 Framework for Co-Visualization of Atomistic Simulations. - Silvio Rizzi 001; Mark Hereld; Joseph A. Insley; Preeti Malakar; Michael E. Papka; Thomas D. Uram; Venkatram Vishwanath (IPDPS Workshops, 2016)

Parallel distributed, GPU-accelerated, advanced lighting calculations for large-scale volume visualization. - Min Shih; Silvio Rizzi 001; Joseph A. Insley; Thomas D. Uram; Venkatram Vishwanath; Mark Hereld; Michael E. Papka; Kwan-Liu Ma (LDAV, 2016)

Early Investigations into Using a Remote RAM Pool with the vl3 Visualization Framework. - Dawid Zawislak; Brian R. Toonen; William E. Allcock; Silvio Rizzi 001; Joseph A. Insley; Venkatram Vishwanath; Michael E. Papka (ISAV@SC, 2016)

Interactive Multi-Modal Display Spaces for Visual Analysis. - Thomas Marrinan; Arthur Nishimoto; Joseph A. Insley; Silvio Rizzi 001; Andrew E. Johnson 001; Michael E. Papka (ISS, 2016)

Modelling frame losses in a parallel Alternate Frame Rendering system with a Computational Best-effort Scheme. - Cristian F. Perez-Monte; Mauricio David Perez; Silvio H. R. Rizzi; Fabiana Piccoli; Cristian Luciano (Comput. Graph., 2016)

Automated Dynamic Data Redistribution. - Thomas Marrinan; Joseph A. Insley; Silvio Rizzi 001; Francois Tessier; Michael E. Papka (IPDPS Workshops, 2017)

Virtual reality tools for the correction of automated volume segmentation errors using dense surface reconstructions. - Edouard B. Brooks; Joseph A. Insley; Michael E. Papka; Silvio Rizzi 001 (LDAV, 2017)

RAM as a Network Managed Resource. - William E. Allcock; Bennett Bernardoni; Colleen Bertoni; Neil Getty; Joseph A. Insley; Michael E. Papka; Silvio Rizzi 001; Brian R. Toonen (IPDPS Workshops, 2018)

Transferring Data from High-Performance Simulations to Extreme Scale Analysis Applications in Real-Time. - Thomas Marrinan; Silvio Rizzi 001; Joseph A. Insley; Brian R. Toonen; William E. Allcock; Michael E. Papka (IPDPS Workshops, 2018)

Exploring Visualization Techniques with HACC Simulation Data. - Joseph Adamo; J. D. Emberson; Edouard B. Brooks; Silvio Rizzi 001; Joseph A. Insley; Michael E. Papka (LDAV, 2018)

In Situ Visualization and Analysis to Design Large Scale Experiments in Computational Fluid Dynamics. - Bennett Bernardoni; Nicola J. Ferrier; Joseph A. Insley; Michael E. Papka; Saumil Patel; Silvio Rizzi 001 (LDAV, 2018)

libIS: a lightweight library for flexible in transit visualization. - Will Usher 001; Silvio Rizzi 001; Ingo Wald; Jefferson Amstutz; Joseph A. Insley; Venkatram Vishwanath; Nicola J. Ferrier; Michael E. Papka; Valerio Pascucci (ISAV@SC, 2018)

Fast Mesh Validation in Combustion Simulations through In-Situ Visualization. - Sergei Shudler; Nicola J. Ferrier; Joseph A. Insley; Michael E. Papka; Saumil Patel; Silvio Rizzi 001 (EGPGV@EuroVis, 2019)

Low-Overhead In Situ Visualization Using Halo Replay. - Jeff Ames; Silvio Rizzi 001; Joseph A. Insley; Saumil Patel; Benjamín Hernández; Erik W. Draeger; Amanda Randles (LDAV, 2019)

PxStream: Remote Visualization for Distributed Rendering Frameworks. - Thomas Marrinan; Silvio Rizzi 001; Joseph A. Insley; Lance Long; Luc Renambot; Michael E. Papka (LDAV, 2019)

Towards High-End Scalability on Biologically-Inspired Computational Models. - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (PARCO, 2019)

Spack meets singularity: creating movable in-situ analysis stacks with ease. - Sergei Shudler; Nicola J. Ferrier; Joseph A. Insley; Michael E. Papka; Silvio Rizzi 001 (ISAV@SC, 2019)

Parallel streaming between heterogeneous HPC resources for real-time analysis. - Thomas Marrinan; Greg Eisenhauer; Matthew Wolf; Joseph A. Insley; Silvio Rizzi 001; Michael E. Papka (J. Comput. Sci., 2019)

Datasets used to train and test the Cortical Spectro-Temporal Model (CSTM). - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

neurophon/neurophon: Prerelease. - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

neurophon/neurophon: Release for PLOS submission. - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

Experimental Results and Appendices: Cortical Spectro-Temporal Model (CSTM). - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

neurophon/neurophon: Minor update to ensure future updates include Zenodo author/keyword metadata. - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

Experimental Results and Appendices: Cortical Spectro-Temporal Model (CSTM). - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

Experimental Results and Appendices: Cortical Spectro-Temporal Model (CSTM). - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

neurophon/neurophon: A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics. - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Mauricio David Perez; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

Improving Performance of M-to-N Processing and Data Redistribution in In Transit Analysis and Visualization. - Burlen Loring; Matthew Wolf; James Kress; Sergei Shudler; Junmin Gu; Silvio Rizzi 001; Jeremy Logan; Nicola J. Ferrier; E. Wes Bethel (EGPGV@Eurographics/EuroVis, 2020)

A terminology for in situ visualization and analysis systems. - Hank Childs; Sean Ahern; James P. Ahrens; Andrew C. Bauer; Janine Bennett; E. Wes Bethel; Peer-Timo Bremer; Eric Brugger; Joseph Cottam; Matthieu Dorier; Soumya Dutta; Jean M. Favre; et al. (Int. J. High Perform. Comput. Appl., 2020)

Instrumenting Multiphysics Blood Flow Simulation Codes for In Situ Visualization and Analysis. - Anthony Bucaro; Connor Murphy; Nicola J. Ferrier; Joseph A. Insley; Victor A. Mateevitsi; Michael E. Papka; Silvio Rizzi 001; Jifu Tan (LDAV, 2021)

Sort-Last In-Transit Data Visualization with SENSEI, Catalyst, and Unreal Engine. - Isaac Nealey; Nicola J. Ferrier; Joseph A. Insley; Victor A. Mateevitsi; Silvio Rizzi 001; Jurgen Schulze (LDAV, 2022)

Massive Data Visualization Techniques for use in Virtual Reality Devices. - Jason A. Ortiz; Joseph A. Insley; Janet Knowles; Victor A. Mateevitsi; Michael E. Papka; Silvio Rizzi 001 (LDAV, 2022)

Toward Bi-directional In Situ Visualization and Analysis of Blood Flow Simulations With Dynamic Deforming Walls. - Nazariy Tishchenko; Nicola J. Ferrier; Joseph A. Insley; Victor A. Mateevitsi; Michael E. Papka; Silvio Rizzi 001; Jifu Tan (LDAV, 2022)

Distributed Volumetric Neural Representation for in situ Visualization and Analysis. - Qi Wu 015; Joseph A. Insley; Victor A. Mateevitsi; Silvio Rizzi 001; Kwan-Liu Ma (LDAV, 2022)

Cinema Transfer: A Containerized Visualization Workflow. - Isaac Nealey; Nicola J. Ferrier; Joseph A. Insley; Victor A. Mateevitsi; Michael E. Papka; Silvio Rizzi 001 (ISC Workshops, 2022)

An Evaluation of a Ray-Tracing Based Model for Photorealistic Image Rendering of Confined Plasma in Stellarators. - Luis Campos; Diego Jiménez; Silvio H. Rizzi; Esteban Meneses (Computación y Sistemas, 2022)

Towards an Active Foveated Approach to Computer Vision. - Dario Dematties; Silvio Rizzi 001; George K. Thiruvathukal; Alejandro Wainselboim (Computación y Sistemas, 2022)

Preface IEEE LDAV 2023. - Peer-Timo Bremer; Kristi Potter; Steffen Frey; Silvio Rizzi 001; Gunther H. Weber; Soumya Dutta; Jonas Lukasczyk; Nicole Marsaglia (LDAV, 2023)

Peachy Parallel Assignments (EduHPC 2023). - H. Martin Bücker; Jeremiah Corrado; Daniel Fedorin; Diego García-Álvarez; Arturo González-Escribano; John Li; Maria Pantoja; Erik Pautsch; Marieke Plesske; Marcelo Ponce; Silvio Rizzi 001; Erik Saule; et al. (SC Workshops, 2023)

Performance Evaluation of Heterogeneous GPU Programming Frameworks for Hemodynamic Simulations. - Aristotle X. Martin; Geng Liu; William Ladd; Seyong Lee; John Gounley; Jeffrey S. Vetter; Saumil Patel; Silvio Rizzi 001; Victor A. Mateevitsi; Joseph A. Insley; Amanda Randles (SC Workshops, 2023)

Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI. - Victor A. Mateevitsi; Mathis Bode; Nicola J. Ferrier; Paul F. Fischer; Jens Henrik Göbbert; Joseph A. Insley; Yu-Hsiang Lan; Misun Min; Michael E. Papka; Saumil Patel; Silvio Rizzi 001; Jonathan Windgassen (SC Workshops, 2023)

Optimized Uncertainty Estimation for Vision Transformers: Enhancing Adversarial Robustness and Performance Using Selective Classification. - Erik Pautsch; John Li; Silvio Rizzi 001; George K. Thiruvathukal; Maria Pantoja (SC Workshops, 2023)

VTK-m: Visualization for the Exascale Era and Beyond. - Mark Bolstad; Kenneth Moreland; David Pugmire; David H. Rogers 001; Li-Ta Lo; Berk Geveci; Hank Childs; Silvio Rizzi 001 (SIGGRAPH Talks, 2023)

Software and Analysis for paper: Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI. - Victor A. Mateevitsi; Mathis Bode; Nicola J. Ferrier; Paul F. Fischer; Jens Henrik Göbbert; Joseph A. Insley; Yu-Hsiang Lan; Misun Min; Michael E. Papka; Saumil Patel; Silvio Rizzi 001; Jonathan Windgassen (Zenodo, 2023)

Exploring Large-Scale Scientific Data in Virtual Reality. - Idunnuoluwa A. Adeniji; Joseph A. Insley; David A. Joiner; Victor A. Mateevitsi; Michael E. Papka; Silvio Rizzi 001 (LDAV, 2024)

IEEE LDAV 2024 Preface. - Johanna Beyer; Steffen Frey; Guido Reina; Silvio Rizzi 001; Gunther H. Weber; Soumya Dutta; Nicole Marsaglia; Peer-Timo Bremer; Kenneth Moreland; Kristi Potter; Julien Tierny; Chaoli Wang 001; et al. (LDAV, 2024)

Graphical Representation Through a User Interface for In Situ Scientific Visualization with Ascent. - Colleen Heinemann; Jefferson Amstutz; Joseph A. Insley; Victor A. Mateevitsi; Michael E. Papka; Silvio Rizzi 001 (LDAV, 2024)

Visuals on the House: Optimizing HPC Workflows with No-Cost CPU Visualization. - Victor A. Mateevitsi; Andres Sewell; Mathis Bode; Paul F. Fischer; Jens Henrik Göbbert; Joseph A. Insley; Ioannis Kavroulakis; Damaskinos Konioris; Yu-Hsiang Lan; Misun Min; Dimitrios Papageorgiou; Michael E. Papka; et al. (LDAV, 2024)

High-quality Approximation of Scientific Data using 3D Gaussian Splatting. - Andres Sewell; Landon Dyken; Victor A. Mateevitsi; Will Usher 001; Jefferson Amstutz; Thomas Marrinan; Khairi Reda; Silvio Rizzi 001; Joseph A. Insley; Michael E. Papka; Sidharth Kumar; Steve Petruzza (LDAV, 2024)

Optimizing Uncertainty Estimation on Scientific Visualizations Using Learning Models. - Clara J. Almeida; David Guerrero-Pantoja; Erik Pautsch; Silvio Rizzi 001; George K. Thiruvathukal; Maria Pantoja (SC Workshops, 2024)

Bridging Gaps in Simulation Analysis through a General Purpose, Bidirectional Steering Interface with Ascent. - Andres Sewell; Dimitrios K. Fytanidis; Victor A. Mateevitsi; Cyrus Harrison; Nicole Marsaglia; Thomas Marrinan; Silvio Rizzi 001; Joseph A. Insley; Michael E. Papka; Steve Petruzza (SC Workshops, 2024)

Containerization on a self-supervised active foveated approach to computer vision. - Dario Dematties; Silvio Rizzi 001; George K. Thiruvathukal (Rev. Colomb. de Computación, 2024)

The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale. - James P. Ahrens; Marco Arienti; Utkarsh Ayachit; Janine Bennett; Roba Binyahib; Ayan Biswas; Peer-Timo Bremer; Eric Brugger; Roxana Bujack; Hamish A. Carr; Jieyang Chen; Hank Childs; et al. (Int. J. High Perform. Comput. Appl., 2025)

Deciphering boundary layer dynamics in high-Rayleigh-number convection using 3360 GPUs and a high-scaling in-situ workflow. - Mathis Bode; Damian Alvarez; Paul F. Fischer; Christos E. Frouzakis; Jens Henrik Göbbert; Joseph A. Insley; Yu-Hsiang Lan; Victor A. Mateevitsi; Misun Min; Michael E. Papka; Silvio Rizzi 001; Roshan J. Samuel; et al. (CoRR, 2025)

Accelerating uncertainty methods for distributed deep learning on novel architectures. - David Guerrero-Pantoja; Erik Pautsch; Clara J. Almeida; Silvio Rizzi 001; George K. Thiruvathukal; Maria Pantoja (J. Supercomput., 2025)

Distributed Neural Representation for Reactive In Situ Visualization. - Qi Wu 015; Joseph A. Insley; Victor A. Mateevitsi; Silvio Rizzi 001; Michael E. Papka; Kwan-Liu Ma (IEEE Trans. Vis. Comput. Graph., 2025)