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- W3147256688 abstract "PMD sensors are based on time of flight (TOF) technology which deliver speedy images with depth data to suit real-time applications. Simulation of ray tracing for real-time image generation is an important step for testing photonic mixer devices (PMD) sensors. These ray-tracing applications for image simulation are embarrassingly parallel in nature. Hence, to speed up this task, GPUs embody the perfect hardware architecture required. This paper proposes various optimization techniques for a ray-tracing algorithm using NVIDIA CUDA-enabled GPUs. The ray-tracing tasks are subjected to per pixel of the PMD sensor. Even simple parallel algorithms of ray tracing have considerable scope of optimization with respect to memory, instructions, control flow and concurrency. In this paper, various optimization approaches are proposed which are generic across all CUDA GPUs along with the merits and demerits. The optimizations are carried out for ray-tracing algorithm for simulation of PMD sensors using NVIDIA GeForce 840 M GPU of the Maxwell architecture family. The speed-up obtained from optimized parallel algorithm is 2.29 times of its serial algorithm and is 1.048 times of its parallel algorithm." @default.
- W3147256688 created "2021-04-13" @default.
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- W3147256688 date "2021-01-01" @default.
- W3147256688 modified "2023-09-26" @default.
- W3147256688 title "Optimization of Ray-Tracing Algorithm for Simulation of PMD Sensors" @default.
- W3147256688 cites W2130026741 @default.
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- W3147256688 doi "https://doi.org/10.1007/978-981-33-4859-2_27" @default.
- W3147256688 hasPublicationYear "2021" @default.
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