Authors: Durga Keerthi Mandarapu, Nicholas James, Milind Kulkarni

Published on: February 22, 2024

Impact Score: 7.6

Arxiv code: Arxiv:2402.14801

Summary

• What is new: Mochi introduces new reductions for collision detection utilizing Ray Tracing cores, achieving significant speedups.
• Why this is important: Existing collision detection methods are computationally intensive and not efficient enough for real-time applications.
• What the research proposes: Mochi accelerates both broad and narrow phases of collision detection by leveraging Ray Tracing cores in GPUs.
• Results: Mochi achieves several orders of magnitude speedups on synthetic datasets and 5x-28x speedups on real-world datasets.

Technical Details

Technological frameworks used: Mochi, leveraging Ray Tracing cores

Models used: Bounding Volume Hierarchy (BVH)

Data used: Synthetic and real-world triangle mesh datasets

Potential Impact

Robotics, visual graphics, fluid mechanics, and any industry requiring real-time collision detection.

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