This
informative post includes cudaDeviceSynchronize();
cudaStreamSynchronize() and cudaStreamQuery()
(provided it returns cudaSuccess and not
cudaErrorNotReady) where the specified stream is the only stream
still executing on the GPU; cudaEventSynchronize() and
cudaEventQuery() in cases where the specified event is not followed
by any device work; as well as uses of cudaMemcpy() and
cudaMemset() that are documented as being fully synchronous with
official statement respect to the host. 0) would be invalid.
cudaStreamWaitEvent() will succeed even if the input stream and
input event are associated to different devices. malloc or new) can be accessed from both GPU code and CPU code using the same pointer.
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h for any use cases that cannot depend on the CUDA software stack. It
provides C and C++ functions that execute on the host to allocate and deallocate
device memory, transfer data between host memory and device memory,
manage systems with multiple devices, etc. h header needs to be included.
Kernel nodes:cudaMemset and cudaMemcpy nodes:
Additional memcpy node restrictions:External semaphore wait nodes and record nodes:There are no restrictions on updates to host nodes, event record nodes, or event wait nodes. e.
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The L2 cache is used to cache
accesses to local and global memory. .