Below is a list of my blog entries that discuss developing parallel programs using CUDA. These are listed in the proper sequence so you can just click through them instead of having to search through the entire blog.
- Getting started with CUDA
- My first CUDA program!
- Threads and blocks and grids, oh my!
- Updating to CUDA 2.3
I would be remiss if I didn’t also point you to the great series of articles written by Rob Farber and published in Dr. Dobb’s Journal:
- CUDA, Supercomputing for the Masses: Part 1
- CUDA, Supercomputing for the Masses: Part 2
- CUDA, Supercomputing for the Masses: Part 3
- CUDA, Supercomputing for the Masses: Part 4
- CUDA, Supercomputing for the Masses: Part 5
- CUDA, Supercomputing for the Masses: Part 6
- CUDA, Supercomputing for the Masses: Part 7
- CUDA, Supercomputing for the Masses: Part 8
- CUDA, Supercomputing for the Masses: Part 9
- CUDA, Supercomputing for the Masses: Part 10
- CUDA, Supercomputing for the Masses: Part 11
- CUDA, Supercomputing for the Masses: Part 12
- CUDA, Supercomputing for the Masses: Part 13
Hello everybody
I m here for another time to ask you for help.
the goal of my project is to use parallelism to reduce program latency time.
i start with data parallelism and i succes to do it with cuda structure,so the idea now is to improve the program with treatement parallelism,i think to a first solution using thread,the first thread do treatement in GPU and the second one do the inputfrom CPU memory to GPU memory-output from GPU memory to CPU memory.
but infortunately i don t get wishable result only 0000 that mean that i have problems to pass gpu parameters to thread function even if i do all the allocation & copy!!!!!
do you have any ideas
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I love CUDA.
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