simpleStreams - simpleStreams
Description
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.
Key Concepts
Asynchronous Data Transfers, CUDA Streams and Events
Supported SM Architectures
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
Supported OSes
Linux, Windows
Supported CPU Architecture
x86_64, armv7l
CUDA APIs involved
CUDA Runtime API
cudaMemcpy, cudaSetDeviceFlags, cudaSetDevice, cudaEventDestroy, cudaStreamCreate, cudaMallocHost, cudaEventCreateWithFlags, cudaFreeHost, cudaMemcpyAsync, cudaGetDeviceCount, cudaStreamDestroy, cudaMemset, cudaEventElapsedTime, cudaHostAlloc, cudaFree, cudaHostRegister, cudaEventSynchronize, cudaEventRecord, cudaMalloc, cudaGetDeviceProperties, cudaHostUnregister
Prerequisites
Download and install the CUDA Toolkit 12.5 for your corresponding platform.