Mixing Graphics and Compute with multiple GPUs, Alina Alt - Nvidia

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Application Example:Autodesk Maya CUDA plug-in within an OpenGL application NVIDIA Confidential } SignalWait(setupCompleted); wglMakeCurrent(hDC,workerCtx); //Register OpenGL objects with CUDA int count = 1; while (!done) { SignalWait(oglDone[count]); glWaitSync(endGLSync[count]); cudaGraphicsMapResources(1, &cudaResourceBuf[count], cudaStream[N]); cudaGraphicsResourceGetMappedPointer((void **)&memPtr, &size, cudaResourceBuf[count]); doWorkInCUDA(memPtr, cudaStream[N]); cudaGraphicsUnmapResources(1, &cudaResourceBuf[count], cudaStream[N]); cudaStreamSynchronize(cudaStreamN); EventSignal(cudaDone[count]); count = (count+1)%2; CUDA worker thread N mainCtx = wglCreateContext(hDC); workerCtx = wglCreateContextAttrib wglMakeCurrent(hDC, mainCtx); //Create OpenGL objects EventSignal(setupCompleted); int count = 0; while (!done) { } SignalWait(cudaDone[count]); doWorkInGL(imagePBO[count]); (hDC,mainCtx…); endGLSync[count] = glFenceSync(…); EventSignal(oglDone[count]); count = (count+1)%2; Main OpenGL thread
API Interoperability hides all the complexity NVIDIA Confidential
Page 1 and 2: Mixing Graphics and Compute with mu
Page 3 and 4: Compute and Visualize the same data
Page 5 and 6: Simple OpenGL-CUDA interop sample:
Page 7 and 8: Simple OpenGL-CUDA interop sample u
Page 9 and 10: Interoperability behavior:single GP
Page 11 and 12: Simple OpenGL-CUDA interop sample I
Page 13 and 14: Interoperability behavior: multiple
Page 15: Application Example:Adobe Premiere
Page 19 and 20: Application Design Considerations C

Mixing Graphics and Compute with multiple GPUs, Alina Alt - Nvidia

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