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

Zheng, Shaokun ; Zhou, Zhiqian ; Chen, Xin ; Yan, Difei ; Zhang, Chuyan ; Geng, Yuefeng ; Gu, Yan ; Xu, Kun

ACM transactions on graphics, 2022-12, Vol.41 (6), p.1-19, Article 232 [Periódico revisado por pares]

New York, NY, USA: ACM

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Título:
LuisaRender: A High-Performance Rendering Framework with Layered and Unified Interfaces on Stream Architectures
Autor: Zheng, Shaokun ; Zhou, Zhiqian ; Chen, Xin ; Yan, Difei ; Zhang, Chuyan ; Geng, Yuefeng ; Gu, Yan ; Xu, Kun
Assuntos: Computer graphics ; Computing methodologies ; Context specific languages ; Domain specific languages ; Parallel computing methodologies ; Parallel programming languages ; Ray tracing ; Rendering ; Software and its engineering ; Software notations and tools
É parte de: ACM transactions on graphics, 2022-12, Vol.41 (6), p.1-19, Article 232
Descrição: 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 LuisaRender1, 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.
Editor: New York, NY, USA: ACM
Idioma: Inglês

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

Zheng, Shaokun ; Zhou, Zhiqian ; Chen, Xin ; Yan, Difei ; Zhang, Chuyan ; Geng, Yuefeng ; Gu, Yan ; Xu, Kun

New York, NY, USA: ACM

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