This sample uses CUDA streams to overlap kernel executions with memory copies between the host and a GPU device. This sample uses a new CUDA 4.0 feature that supports pinning of generic host memory. Requires Compute Capability 2.0 or higher.
Asynchronous Data Transfers, CUDA Streams and Events
SM 5.0 SM 5.2 SM 5.3 SM 6.0 SM 6.1 SM 7.0 SM 7.2 SM 7.5 SM 8.0 SM 8.6 SM 8.7 SM 8.9 SM 9.0
Linux, Windows
x86_64, armv7l
cudaMemcpy, cudaSetDeviceFlags, cudaSetDevice, cudaEventDestroy, cudaStreamCreate, cudaMallocHost, cudaEventCreateWithFlags, cudaFreeHost, cudaMemcpyAsync, cudaGetDeviceCount, cudaStreamDestroy, cudaMemset, cudaEventElapsedTime, cudaHostAlloc, cudaFree, cudaHostRegister, cudaEventSynchronize, cudaEventRecord, cudaMalloc, cudaGetDeviceProperties, cudaHostUnregister
Download and install the CUDA Toolkit for your corresponding platform.