GPU Wave Profile Buffer for Real-Time Ocean Simulation

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current computer graphics simulation methods for large-scale ocean environments struggle to dynamically respond to complex environmental interactions and maintain high detail while achieving real-time frame rates without excessive memory consumption.

Innovation Solution

A novel method that combines Eulerian wave energy simulation with a special up-resolution technique, using a simulation grid to store wave amplitude values and a one-dimensional texture for precomputed wave profiles, allowing for realistic wave interactions and detailed rendering at high frame rates.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If numerical approaches solving Navier-Stokes equations are used for water simulation, then flexibility in handling water interactions with moving obstacles is improved, but computational cost becomes prohibitively expensive when scaling to very large scale simulation domains with small wave details

Engineering Contradiction:
Improveflexibility in handling water interactionsVSAvoidcomputational cost
Core Design Contradiction:
Adaptability or versatilityVSPower

Solution Approach 1:

The patent segments the wave simulation into two distinct components: a coarse Eulerian grid for wave energy propagation and a fine Lagrangian particle system for detailed wave surfaces. This segmentation allows each component to operate at its optimal resolution, reducing overall computational cost while maintaining flexibility in handling interactions with moving obstacles

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a spectral dimension by representing wave fields as superpositions of directional wave components with different frequencies and propagation directions. This dimensional transformation allows the simulation to capture small wave details efficiently without requiring fine spatial discretization across the entire large-scale domain

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Quantity of substance

If Eulerian wave simulations are used, then memory consumption is reduced for large scenes, but the ability to realistically interact with complex boundaries and environmental conditions deteriorates

Engineering Contradiction:
Improvememory consumptionVSAvoidability to interact with complex boundaries
Core Design Contradiction:
Quantity of substanceVSAdaptability or versatility

Solution Approach 1:

The patent divides the simulation system into an Eulerian component for efficient memory usage in large scenes and a Lagrangian particle component for realistic boundary interactions. The Eulerian grid handles bulk wave propagation with low memory overhead, while Lagrangian particles are spawned only near boundaries and objects where interactions are needed, combining memory efficiency with interaction realism

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary coupling mechanism that transfers momentum and energy between the Eulerian wave field and Lagrangian particles at boundaries. This intermediary layer allows the Eulerian system to maintain its memory efficiency while the Lagrangian particles mediate realistic interactions with complex boundaries and environmental conditions

Inventive Principle:
Principle #24Intermediary (Mediator)

3Productivity

If spectrum-based approaches are used to reduce complexity, then computational efficiency is improved, but the ability to realistically interact with complex boundaries and environmental conditions deteriorates due to theoretical assumptions

Engineering Contradiction:
Improvecomputational efficiencyVSAvoidability to interact with complex boundaries
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent makes the simulation approach dynamic by using spectrum-based methods in the bulk ocean where efficiency is paramount, and switching to Lagrangian particle methods near boundaries and objects where adaptability is needed. This dynamic adaptation allows the system to maintain computational efficiency while realistically interacting with complex environmental conditions

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent applies different simulation qualities to different spatial regions: high-efficiency spectral methods are used in open water regions, while high-adaptability Lagrangian methods are used locally near boundaries and objects. This local quality differentiation allows the system to optimize computational resources while maintaining realism where it matters most

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS11010509B2Systems and methods for computer simulation of detailed waves for large-scale water simulation
Publication Date: 2021.05.18 NVIDIA CORP
  • US11010509B2 patent drawing
  • US11010509B2 patent drawing
  • US11010509B2 patent drawing

AI summary

Embodiments of the present invention provide a novel method and discretization for animating water waves. The approaches disclosed combine the flexibility of a numerical approach to wave simulation with the stability and visual detail provided by a spectrum-based approach to provide Eulerian methods for simulating large-scale oceans with highly detailed wave features. A graphics processing unit stores a one-dimensional texture referred to as a wave profile buffer that stores pre-computed results at a number of discrete sample points for performing wave height evaluation. The water surface is rendered according to water height values computed using the wave profile, accounting for advection, spatial diffusion, angular diffusion, boundary reflections, and dissipation.