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I have 33 related questions:

  1. What are the main optimizations related to power of 2power of 2 dimensions for 1D/2D/3D textures? This question gives some answers like mipmapping, but are not well explained and the list of optimizations does not seem to be complete. I would likewant a complete dotedordered list from most important to less of the optimizations with complete explanations, with references replacing full explanations only where full explanation would overwhelming, and proper references (paper/graphics official page [OpenGL/VulknaVulkan/CUDA]) for every statement about explained optimization. When the comparation is not direct, take a guess based on the one that would improve overall performance most in majority of computer graphics applications. Furthermore I would likewant to specify which of this optimizations are available at least for OpenGL and CUDA. More specifications would be acclaimed.

  2. What benefits exists for divisible by 8divisible by 8 dimensions? This article states the rule as an alternative/complement to the power of 2 one but does not give explanations nor references.

  3. Is there any benefit for divisibility by a larger number? This article uses divisible by 32 dimensions. I know that CUDA has a warp size of 32 and that blocks should be multiple of 32 to have a good overall average utilization, but I do not know if this could be related to texture sizes and would like to know if the answer is no.

In many places posibilities for texture optimization are loosely stated and not properly documentated. This question aims at solving this issue.

I have 3 related questions:

  1. What are the main optimizations related to power of 2 dimensions for 1D/2D/3D textures? This question gives some answers like mipmapping, but are not well explained and the list of optimizations does not seem to be complete. I would like a complete doted list of the optimizations with complete explanations, with references replacing full explanations only where full explanation would overwhelming, and proper references (paper/graphics official page [OpenGL/Vulkna/CUDA]) for every statement about explained optimization. Furthermore I would like to specify which of this optimizations are available at least for OpenGL and CUDA.

  2. What benefits exists for divisible by 8 dimensions? This article states the rule as an alternative/complement to the power of 2 one but does not give explanations nor references.

  3. Is there any benefit for divisibility by a larger number? This article uses divisible by 32 dimensions. I know that CUDA has a warp size of 32 and that blocks should be multiple of 32 to have a good overall average utilization, but I do not know if this could be related to texture sizes and would like to know if the answer is no.

In many places posibilities for texture optimization are loosely stated and not properly documentated. This question aims at solving this issue.

I have 3 related questions:

  1. What are the main optimizations related to power of 2 dimensions for 1D/2D/3D textures? This question gives some answers like mipmapping, but are not well explained and the list of optimizations does not seem to be complete. I want a complete ordered list from most important to less of the optimizations with complete explanations, with references replacing full explanations only where full explanation would overwhelming, and proper references (paper/graphics official page [OpenGL/Vulkan/CUDA]) for every statement about explained optimization. When the comparation is not direct, take a guess based on the one that would improve overall performance most in majority of computer graphics applications. Furthermore I want to specify which of this optimizations are available at least for OpenGL and CUDA. More specifications would be acclaimed.

  2. What benefits exists for divisible by 8 dimensions? This article states the rule as an alternative/complement to the power of 2 one but does not give explanations nor references.

  3. Is there any benefit for divisibility by a larger number? This article uses divisible by 32 dimensions. I know that CUDA has a warp size of 32 and that blocks should be multiple of 32 to have a good overall average utilization, but I do not know if this could be related to texture sizes and would like to know if the answer is no.

In many places posibilities for texture optimization are loosely stated and not properly documentated. This question aims at solving this issue.

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Texture dimensions guidelines

I have 3 related questions:

  1. What are the main optimizations related to power of 2 dimensions for 1D/2D/3D textures? This question gives some answers like mipmapping, but are not well explained and the list of optimizations does not seem to be complete. I would like a complete doted list of the optimizations with complete explanations, with references replacing full explanations only where full explanation would overwhelming, and proper references (paper/graphics official page [OpenGL/Vulkna/CUDA]) for every statement about explained optimization. Furthermore I would like to specify which of this optimizations are available at least for OpenGL and CUDA.

  2. What benefits exists for divisible by 8 dimensions? This article states the rule as an alternative/complement to the power of 2 one but does not give explanations nor references.

  3. Is there any benefit for divisibility by a larger number? This article uses divisible by 32 dimensions. I know that CUDA has a warp size of 32 and that blocks should be multiple of 32 to have a good overall average utilization, but I do not know if this could be related to texture sizes and would like to know if the answer is no.

In many places posibilities for texture optimization are loosely stated and not properly documentated. This question aims at solving this issue.