Cycles:

* OpenCL now only uses GPU/Accelerator devices, it's only confusing if CPU
  device is used, easy to enable in the code for debugging.
* OpenCL kernel binaries are now cached for faster startup after the first
  time compiling.
* CUDA kernels can now be compiled and cached at runtime if the CUDA toolkit
  is installed. This means that even if the build does not have CUDA enabled,
  it's still possible to use it as long as you install the toolkit.

intern/cycles/render/session.cpp

@@ -384,7 +384,7 @@ void Session::run_cpu()
 void Session::run()
 {
 	/* load kernels */
-	progress.set_status("Loading render kernels (may take a few minutes)");
+	progress.set_status("Loading render kernels (may take a few minutes the first time)");
 
 	if(!device->load_kernels()) {
 		progress.set_status("Failed loading render kernel, see console for errors");