Our paper Speculative Progressive Raycasting for Memory Constrained Isosurface Visualization of Massive Volumes won best paper at LDAV 2023
Our paper on ray tracing spherical harmonics glyphs received an honorable mention at VMV 2023!
The pre-print of our paper on speculative progressive isosurface raycasting in the browser using WebGPU is now online!
I served on the IEEE VIS program committee, and again as Tech Chair.
Ray Tracing Gems II is available now online for free, and includes a chapter by me on demystifying the shader binding table!
I served on the EGPGV program committee.
The preprint of our paper IPDPS 2021 paper, Adaptive Spatially Aware I/O for Multiresolution Particle Data Layouts, is now online!
Our paper extending our work on RTX-accelerated point location, Accelerating Unstructured Mesh Point Location with RT Cores, has been accepted for publication in IEEE Transactions on Visualization and Computer Graphics!
I received a special IEEE award for Meritorious Service for my work on the IEEE VIS 2020 Tech Committee!
Our paper, Interactive Visualization of Terascale Data in the Browser: Fact or Fiction?, received an Honorable Mention at LDAV 2020!
The preprint of our VIS paper Efficient and Flexible Hierarchical Data Layouts for a Unified Encoding of Scalar Field Precision and Resolution is now available!
The preprint of our VIS paper Ray Tracing Structured AMR Data Using ExaBricks is now available!
The preprint of our VIS short paper A Virtual Frame Buffer Abstraction for Parallel Rendering of Large Tiled Display Walls is now available!
The preprint of our VIS paper Improving the Usability of Virtual Reality Neuron Tracing with Topological Elements is now available!
The preprint of our LDAV paper Interactive Visualization of Terascale Data in the Browser: Fact or Fiction? is now available!
Nate presented our paper Using Hardware Ray Transforms to Accelerate Ray/Primitive Intersections for Long, Thin Primitive Types at HPG 2020, the talk recording is available on Youtube
The preprint of our HPG 2020 paper Using Hardware Ray Transforms to Accelerate Ray/Primitive Intersections for Long, Thin Primitive Types is now online!
Feng’s EuroVis 2020 presentation on our Tree-Based Adaptive Mesh Refinement rendering paper is now online.
I presented our paper Spatially-aware Parallel I/O for Particle Data at ICPP 2019 in Kyoto.
Ingo Wald presented our short paper RTX Beyond Ray Tracing: Exploring the Use of Hardware Ray Tracing Cores for Tet-Mesh Point Location at HPG 2019 in Strasbourg.
I presented our paper Scalable Ray Tracing Using the Distributed FrameBuffer, and Mengjiao Han presented our paper Ray Tracing Generalized Tube Primitives: Method and Applications at EuroVis 2019 in Porto.
The pre-print of our short paper accepted to HPG 2019 is now available online.
The pre-prints of our two papers accepted to EuroVis 2019 are now available online.
Our paper CPU Isosurface Ray Tracing of Adaptive Mesh Refinement Data has been published in IEEE TVCG.
I presented our paper libIS: A Lightweight Library for Flexible In Transit Visualization at ISAV 2018 in Dallas.
Feng Wang presented our paper CPU Isosurface Ray Tracing of Adaptive Mesh Refinement Data at IEEE VIS 2018 in Berlin.
Our paper libIS: A Lightweight Library for Flexible In Transit Visualization was accepted to ISAV 2018!
Our paper CPU Isosurface Ray Tracing of Adaptive Mesh Refinement Data was accepted to IEEE VIS 2018!
Chuck Hansen presented our paper VisIt-OSPRay: Toward an Exascale Volume Visualization System at EGPGV18 in Brno.
Sidharth Kumar presented our paper Scalable Data Management of the Uintah Simulation Framework for Next-Generation Engineering Problems with Radiation at SC Asia 2018 in Singapore.
I’m visiting Argonne National Laboratory for the next two weeks to work with Silvio Rizzi and Joe Insley on our interactive in situ visualization project.
Our paper A Virtual Reality Visualization Tool for Neuron Tracing has been published in IEEE TVCG.
Carson Brownlee presented our paper on CPU Volume Rendering of Adaptive Mesh Refinement Data at the SIGGRAPH Asia 2017 Symposium on Visualization in Bangkok.
An article covering our virtual reality tool for neuron tracing appeared in Scientific American.
Pavol Klacansky and I presented a poster on our virtual reality visualization tool for neuron tracing at the 2017 Society of Neuroscience annual meeting in Washington D.C.
I gave a lightning talk about our work on Flexible In Situ Visualization of LAMMPS Simulations at ISAV17 in Denver.
I presented our hands-on tutorial Using OSPRay with Data-Distributed Applications at the 2017 Intel HPC Developer Conference in Denver. A PDF of the slides is available online.
Silvio Rizzi presented our work on Interactive In Situ Visualization of LAMMPS Simulations with OSPRay at the 2017 Intel HPC Developer Conference in Denver. A recording of the talk and slides are available online.
I presented our paper A Virtual Reality Visualization Tool for Neuron Tracing at IEEE VIS17 in Phoenix.
I presented the CPU-based rendering section of the Interactive Visualization of Large Dynamic Particle Data tutorial with Martin Falk, Michael Krone and Guido Reina at IEEE VIS17 in Phoenix.
I presented our paper Progressive CPU Volume Rendering with Sample Accumulation at EGPGV 2017 in Barcelona.
I’m starting my summer internship at Intel in Austin, where I’ll be working with the OSPRay team.
Our paper In Situ Exploration of Particle Simulations with CPU Ray Tracing has been published in Supercomputing Frontiers and Innovations.
I presented our work on In Situ Exploration of Particle Simulations with CPU Ray Tracing at the ISC Workshop on In Situ Visualization in Frankfurt.
Our paper VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures has been published in IEEE Computer Graphics & Applications.
Ingo Wald presented our paper CPU Ray Tracing Large Particle Data with Balanced P-k-d Trees at IEEE VIS15 in Chicago.
I’m starting my summer internship at Los Alamos National Lab as part of the Data Science at Scale School. I’ll be working with Chris Sewell on the VTK-m project.
I’m starting my PhD in Computer Science at the University of Utah!