Changes between Initial Version and Version 1 of CudaApps

Timestamp:

Dec 18, 2008, 4:57:04 PM (16 years ago)

Author:

davea

Comment:

--

CudaApps

@@ +1 @@
+= CUDA applications =
+
+== CUDA initialization ==
+
+Below is a function that you can use at CUDA initialization in your
+application that will use the CUDA Driver API to setup a blocking sync
+context. Call this function just before you call cudaSetDevice() in your
+initialization and the thread yielding is automatically provided when you
+launch device kernels from your host code.  There is no need to poll or use
+sleep-loop.  Sleeping is done in the driver and your thread will resume very
+quickly when the GPU completes the scheduled task.
+{{{
+bool SetCUDABlockingSync(int device) {
+    CUdevice  hcuDevice;
+    CUcontext hcuContext;
+
+    CUresult status = cuInit(0);
+    if(status != CUDA_SUCCESS)
+       return false;
+
+    status = cuDeviceGet( &hcuDevice, device);
+    if(status != CUDA_SUCCESS)
+       return false;
+
+    status = cuCtxCreate( &hcuContext, 0x4, hcuDevice );
+    if(status != CUDA_SUCCESS)
+       return false;
+
+    return true;
+}
+}}}
+Don't set up a cuda context via the CUDART runtime API before the calling of the new driver API code. If there are ANY calls to CUDART runtime DLL's (other than possibly cudaGetDeviceCount() and cudaGetDeviceProperties()) prior to calling the driver API blocking sync context setup, the driver API call will not have any affect. 
+
+
+== Thread priority ==
+
+Your application should use normal thread priority on Windows.
+To do this, initialize BOINC as follows:
+
+{{{
+BOINC_OPTIONS options;
+boinc_options_defaults(options);
+options.normal_thread_priority = 1;
+boinc_init_options(&options);
+}}}