Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.
Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.
Lost your password? Please enter your email address. You will receive a link and will create a new password via email.
Please briefly explain why you feel this question should be reported.
Please briefly explain why you feel this answer should be reported.
Please briefly explain why you feel this user should be reported.
I am loading a simple variable to the GPU memory using Mathematica:
mem = CUDAMemoryLoad[{1, 2, 3}]
And get the following result:
CUDAMemory["<135826556>", "Integer32"]
Now, with this data in the GPU memory I want to access it from a separate .cu program (outside of Mathematica), using Thrust.
Is there any way to do this? If so, can someone please explain how?
No, there isn’t a way to do this. CUDA contexts are private, and there is no way in the standard APIs for a process to access memory which is allocated in another processes context.
During the CUDA 4 release cycle, a new API called cudaIpc was released. This allows two processes with CUDA contexts running on the same host to export and exchange handles to GPU memory allocations. The API is only supported on Linux hosts running with unified addressing support. To the best of my knowledge Mathematica doesn’t currently support this.