3 Replies Latest reply on Nov 19, 2015 3:41 AM by dipak

    Method to share data




      I'm trying to implement a multi gpu app.


      i need to share data between two gpus.


      Because there is random access in the buffers, i cant just split the calculation into half.


      I would like to ask, what could be the best way to synchronize modified data after kernel execution. I cant just copy them together, because there are random modifications on both gpu(but they newer write to the same area).


      First i thought that svm is the answer, but it seems that its only shared between one device and the host at a time. If i create an svm buffer and do modifications on the kernel side, it


      won't be combined on the host side, there is no option to just map the buffer, i can only map the buffer from queue1 or queue2 so map the gpu1's svmbuffer or the gpu2's. I have to


      map the buffer to queue1(gpu1) and queue2(gpu2) every time i want to send data to the gpu-s. Am i doing something wrong, or its not actually as shared as i thought.