LuisaRender: A High-Performance Rendering Framework with Layered and Unified Interfaces on Stream Architectures

SIGGRAPH Asia 2022
(Journal Track)
Shaokun Zheng1, Zhiqian Zhou1, Xin Chen1, Difei Yan1, Chuyan Zhang1, Yuefeng Geng2, Yan Gu3, Kun Xu1
1Tsinghua University, 2Recreate Games, 3University of California, Riverside

LuisaRender is a high-performance rendering framework on stream architectures.

Abstract

The advancements in hardware have drawn more attention than ever to high-quality offline rendering with modern stream processors, both in the industry and in research fields. However, the graphics APIs are fragmented and existing shading languages lack high-level constructs such as polymorphism, which adds complexity to developing and maintaining cross-platform high-performance renderers. We present LuisaRender, a high-performance rendering framework for modern stream-architecture hardware. Our main contribution is an expressive C++-embedded DSL for kernel programming with JIT code generation and compilation. We also implement a unified runtime layer with resource wrappers and an optimized Monte Carlo renderer. Experiments on test scenes show that LuisaRender achieves much higher performance than existing research renderers on modern graphics hardware, e.g., 5-11× faster than PBRT-v4 and 4-16× faster than Mitsuba 3.

BibTeX

@article{Zheng2022LuisaRender,
    title = {LuisaRender: A High-Performance Rendering Framework with Layered and Unified Interfaces on Stream Architectures},
    author = {Zheng, Shaokun and Zhou, Zhiqian and Chen, Xin and Yan, Difei and Zhang, Chuyan and Geng, Yuefeng and Gu, Yan and Xu, Kun},
    journal = {ACM Trans. Graph.},
    volume = {41},
    number = {6},
    year = {2022},
    issue_date = {December 2022},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    issn = {0730-0301},
    url = {https://doi.org/10.1145/3550454.3555463},
    doi = {10.1145/3550454.3555463},
    month = {dec},
    articleno = {232},
    numpages = {19}
}