Vulkan-Sim: A GPU Architecture Simulator for Ray Tracing

Saed, Mohammadreza; Chou, Yuan Hsi; Liu, Lufei; Nowicki, Tyler; Aamodt, Tor M.

doi:10.1109/micro56248.2022.00027

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Cited by 7 publications

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Heterogeneous many-core optimization for Monte Carlo path-tracing on new generation Sunway HPC system

Wang,

Ma,

Song

et al. 2024

CCF Trans. HPC

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We present swRender, a new parallel rendering pipeline based on the new Sunway many-core architecture (SW26010P) for the Monte Carlo path-tracing algorithm. Previous parallel rendering schemes are unsuitable for our task due to issues such as vast differences in hardware architectures and bottlenecks in I/O communication efficiency. To that end, we create a new two-level parallel tile rendering framework to fully utilize the Sunway computing resources, a practical tile-grouping load-balancing method to maintain the framework’s stability, and a novel many-core acceleration optimization to improve the rendering performance at the pixel level. Our method achieves (1) an average speedup of 16x in multiple benchmarks when compared to the baseline path-tracing model on the Sunway architecture, and (2) an average speedup of 2x when compared to state-of-the-art CPU, co-processor, and GPU-based parallel rendering approaches. Moreover, we scale swRender to run on 15 million cores and obtain high scalable parallel efficiency of 92%.

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