Efficient floating-point texture decompression

T. Aarnio, C. Brunelli, T. Viitanen
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引用次数: 2

Abstract

We propose a novel hardware design for decoding compressed floating-point textures in a graphics processing unit (GPU). Our decoder is based on the NXR texture format, which provides lossy, fixed-rate 6∶1 compression for floating-point textures. Our design exploits the constraints of the compressed pixel blocks to produce the correct output using only fixed-point arithmetic. This results in significantly lower silicon area occupation compared to pre-existing floating-point texture decoders.
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高效的浮点纹理解压缩
我们提出了一种在图形处理单元(GPU)中解码压缩浮点纹理的新硬件设计。我们的解码器基于NXR纹理格式,该格式为浮点纹理提供有损,固定率6∶1压缩。我们的设计利用压缩像素块的约束,仅使用定点算法产生正确的输出。与现有的浮点纹理解码器相比,这显著降低了硅面积占用。
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