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Fast Grid Preparation for Time-Resolved Cryo-Electron Microscopy
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Raytracing Dynamic Scenes on the GPU Using Grids.

S Guntury, P J Narayanan

    IEEE Transactions on Visualization and Computer Graphics
    |March 9, 2011
    PubMed
    Summary
    This summary is machine-generated.

    We present GPU strategies for high-performance raytracing of dynamic scenes. By using specialized grids and coherence methods, we achieve interactive frame rates for complex rendering tasks.

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    Area of Science:

    • Computer Graphics
    • Real-time Rendering
    • GPU Computing

    Background:

    • Interactive raytracing of dynamic scenes is computationally demanding.
    • Efficient acceleration structures are crucial for real-time performance.
    • Commodity GPUs offer significant parallel processing power.

    Purpose of the Study:

    • To present strategies for high-performance raytracing on commodity GPUs.
    • To optimize acceleration structures for dynamic scenes and various ray types.
    • To improve rendering frame rates for complex scenes.

    Main Methods:

    • Utilizing per-frame rebuilding of acceleration structures like grids.
    • Employing perspective grids for primary rays and shadow rays.
    • Using spherical grids for specific light configurations and uniform grids for reflection/refraction.
    • Proposing Enforced Coherence and Independent Voxel Walk methods for improved ray-to-voxel mapping and cache utilization.

    Main Results:

    • Achieved over 10 frames per second on the Conference model with one light and one reflection bounce.
    • Demonstrated the effectiveness of specialized grids for different ray types.
    • Showcased performance gains through Enforced Coherence and Independent Voxel Walk methods.

    Conclusions:

    • Appropriate data structure selection and optimization are key for high-performance raytracing.
    • Proposed methods offer significant improvements for dynamic scene rendering on current GPUs.
    • The presented strategies are expected to benefit future GPU architectures and manycore systems.