How do I choose gridsize and blocksize for dim3 for CUDA kernels?












-2














I want to find a way to the dynamic calculation for the necessary grid and block size for a dim3 calculation. I have run for a sample program for itsint blocksize, grid size by using cudaOccupancyMaxPotentialBlockSize.



I haven't found any good Cuda command which can make it simple as simpler. I want to implement with cudaTextureObject_t.



I don't know the data size of an array while reading a file. I'm having multi-gpu system.



I know this question is probably duplicate of this question.
I haven't found a good explanation or clarification. BTW, I ended my question with the link above because it partly answers my question. If this is not a proper way to ask questions on Stack Overflow, please excuse or advise me.










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  • It just depends on your kernels and size of problem, there is no generic answer for all applications
    – Ander Biguri
    Nov 22 at 10:44










  • What does "make it simple as simpler" mean? And what do CUDA textures have to do with grid and block sizes? And how do any of the existing questions and answers on Stack Overflow, including the one you linked to, not answer your question? I have no idea what you are really trying to ask here
    – talonmies
    Nov 23 at 10:32
















-2














I want to find a way to the dynamic calculation for the necessary grid and block size for a dim3 calculation. I have run for a sample program for itsint blocksize, grid size by using cudaOccupancyMaxPotentialBlockSize.



I haven't found any good Cuda command which can make it simple as simpler. I want to implement with cudaTextureObject_t.



I don't know the data size of an array while reading a file. I'm having multi-gpu system.



I know this question is probably duplicate of this question.
I haven't found a good explanation or clarification. BTW, I ended my question with the link above because it partly answers my question. If this is not a proper way to ask questions on Stack Overflow, please excuse or advise me.










share|improve this question






















  • It just depends on your kernels and size of problem, there is no generic answer for all applications
    – Ander Biguri
    Nov 22 at 10:44










  • What does "make it simple as simpler" mean? And what do CUDA textures have to do with grid and block sizes? And how do any of the existing questions and answers on Stack Overflow, including the one you linked to, not answer your question? I have no idea what you are really trying to ask here
    – talonmies
    Nov 23 at 10:32














-2












-2








-2







I want to find a way to the dynamic calculation for the necessary grid and block size for a dim3 calculation. I have run for a sample program for itsint blocksize, grid size by using cudaOccupancyMaxPotentialBlockSize.



I haven't found any good Cuda command which can make it simple as simpler. I want to implement with cudaTextureObject_t.



I don't know the data size of an array while reading a file. I'm having multi-gpu system.



I know this question is probably duplicate of this question.
I haven't found a good explanation or clarification. BTW, I ended my question with the link above because it partly answers my question. If this is not a proper way to ask questions on Stack Overflow, please excuse or advise me.










share|improve this question













I want to find a way to the dynamic calculation for the necessary grid and block size for a dim3 calculation. I have run for a sample program for itsint blocksize, grid size by using cudaOccupancyMaxPotentialBlockSize.



I haven't found any good Cuda command which can make it simple as simpler. I want to implement with cudaTextureObject_t.



I don't know the data size of an array while reading a file. I'm having multi-gpu system.



I know this question is probably duplicate of this question.
I haven't found a good explanation or clarification. BTW, I ended my question with the link above because it partly answers my question. If this is not a proper way to ask questions on Stack Overflow, please excuse or advise me.







performance optimization cuda gpu nvidia






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asked Nov 22 at 9:40









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  • It just depends on your kernels and size of problem, there is no generic answer for all applications
    – Ander Biguri
    Nov 22 at 10:44










  • What does "make it simple as simpler" mean? And what do CUDA textures have to do with grid and block sizes? And how do any of the existing questions and answers on Stack Overflow, including the one you linked to, not answer your question? I have no idea what you are really trying to ask here
    – talonmies
    Nov 23 at 10:32


















  • It just depends on your kernels and size of problem, there is no generic answer for all applications
    – Ander Biguri
    Nov 22 at 10:44










  • What does "make it simple as simpler" mean? And what do CUDA textures have to do with grid and block sizes? And how do any of the existing questions and answers on Stack Overflow, including the one you linked to, not answer your question? I have no idea what you are really trying to ask here
    – talonmies
    Nov 23 at 10:32
















It just depends on your kernels and size of problem, there is no generic answer for all applications
– Ander Biguri
Nov 22 at 10:44




It just depends on your kernels and size of problem, there is no generic answer for all applications
– Ander Biguri
Nov 22 at 10:44












What does "make it simple as simpler" mean? And what do CUDA textures have to do with grid and block sizes? And how do any of the existing questions and answers on Stack Overflow, including the one you linked to, not answer your question? I have no idea what you are really trying to ask here
– talonmies
Nov 23 at 10:32




What does "make it simple as simpler" mean? And what do CUDA textures have to do with grid and block sizes? And how do any of the existing questions and answers on Stack Overflow, including the one you linked to, not answer your question? I have no idea what you are really trying to ask here
– talonmies
Nov 23 at 10:32

















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