GPU Accelerated Simulation of Scene Generation of 3D Photonic Mixer Device Camera

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Published: Oct 27, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i9.8341
Keywords:
GPU, CUDA, simulation, PMD sensor, Ray tracing, scene generation

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Sangita Gautam Lade
Department of computer Engineering, Vishwakarma University, Pune, India
Sanjesh Pawale
Department of computer Engineering, Vishwakarma University, Pune, India
Aniket Patil
IFM engineering pvt ltd, Pune, India

Abstract

Simulation of Photonic Mixer Device (PMD) sensors have the capability to create virtual environment to test 3D camera design. This simulation comprises of multiple steps like scene generation using ray tracing, power calculation, raw data generation and raw data processing.  However, each step-in situation process takes longer time to implement and they are simulation process, simulators need to be faster. In this paper, we propose parallel implementation method for scene generation using GPGPUs. The feasibility of the method is confirmed using Amdahl’s law before implementation. The method is implemented and tested on GeForce 820M, GeForce 750Ti and Volta V100.Tthe highest speed up obtained is 219.913 using Volta (GV100) GPU for block size 1024. Thus, parallel method optimizes the scene generation time as compared to serial processing and the implemented results are better than the state of the art in the literature.

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How to Cite
Lade, S. G. ., Pawale, S. ., & Patil, A. . (2023). GPU Accelerated Simulation of Scene Generation of 3D Photonic Mixer Device Camera. International Journal on Recent and Innovation Trends in Computing and Communication, 11(9), 254–258. https://doi.org/10.17762/ijritcc.v11i9.8341
Issue
Vol. 11 No. 9 (2023)
Section
Articles

References

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