Does any one have experience in creating/manipulating GPU machine code, possibly at run-time? I am interested in modifying GPU assembler code, possibly at run time with minimal overhead.Specifically
I\'d like to hear from people with experience of coding for both. Myself, I only have experience with NVIDIA.
I\'m interested in doing GPU-accelerated computation in iOS (for iPhones 3GS and 4). Unfortunately, neither device supports OpenCL, so it seems the only choice is to express the program data as graphi
My work makes extensive use of the algorithm by Migliore, Martorana and Sciortino for finding all possible simple paths, i.e. ones in which no node is encountered more than once, in a graph as describ
I\'ve written this CUDA kernel for Conway\'s game of life: __global__ void gameOfLife(float* returnBuffer, int width, int height) {
So I hear a lot about software development moving to GPUs.. but does anyone know of any popular software that actually leverages computations on the GPU开发者_JAVA技巧?Here are a couple relevant links
I\'m looking for a Java lib that permits to do some fast computations with vector (and maybe matrices too).
I\'m going to attempt to optimize some code written in MATLAB, by using CUDA. I recently started programming CUDA, but I\'ve got a general idea of how it works.
I am trying to understand how bank conflicts take place. if i have an array of size 256 in global memory and i have 256 threads in a single Block, and i want to copy the array to shared memory. theref
For my work it\'s开发者_C百科 particularly interesting to do integer calculations, which obviously are not what GPUs were made for. My question is: Do modern GPUs support efficient integer operations?
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