Technical Papers

Date/Time: 04 – 13 December 2020
All presentations are available in the virtual platform on-demand.

Lecturer(s):
Jae-Ho Nah, LG Electronics, South Korea

Bio:

Description: Compressed textures are indispensable in most 3D graphics applications to reduce memory traffic and increase performance. For higher-quality graphics, the number and size of textures in an application have continuously increased. Additionally, the ETC2 texture format, which is mandatory in OpenGL ES 3.0, OpenGL 4.3, and Android 4.3 (and later versions), requires more complex texture compression than the traditional ETC1 format. As a result, texture compression becomes more and more time-consuming. To accelerate ETC2 compression, we introduce two new compression techniques, named QuickETC2. The first technique is an early compression-mode decision scheme. Instead of testing all ETC1/2 modes to compress a texel block, we select proper modes for each block by exploiting the luma difference of the block to reduce unnecessary compression overhead. The second technique is a fast luma-based T- and H-mode compression method. When clustering each texel into two groups, we replace the 3D RGB space with the 1D luma space and quickly find the two groups that have the minimum luma differences. We also selectively perform the T- or H-mode and reduce its distance candidates, according to the luma differences of each group. We have implemented both techniques with AVX2 intrinsics to exploit SIMD parallelism. According to our experiments, QuickETC2 can compress more than 2000 1K×1K-sized images per second on an octa-core CPU.