Presentation

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State of the Art in Grid-Free Monte Carlo Methods for Partial Differential Equations
DescriptionWe describe grid-free Monte Carlo methods for solving partial differential equations on complex geometries. These methods offer unique opportunities to accelerate engineering design cycles by being easy to parallelize and output-sensitive like Monte Carlo rendering, while bypassing the need for simulation-ready meshes that are burdensome to generate for conventional solvers.
Lecturers
Rohan Sawhney
NVIDIA
Bailey Miller
Carnegie Mellon University
Ioannis Gkioulekas
Carnegie Mellon University
Keenan Crane
Carnegie Mellon University
Event Type
Course
TimeSunday, 10 August 20259:00am - 12:15pm PDT
LocationWest Building, Rooms 220-222
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Keywords
Geometry
Rendering
Simulation
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