checkRuntime(cudaMemcpyAsync(memory_device,memory_host,sizeof(float)*10,cudaMemcpyHostToDevice,stream); checkRuntime(cudaStreamSyncronize(stream)); //在CPU上开辟pinnedMemory并搬运回数据 int *pin_memory_host = nullptr
cudaMemcpyAsync(inputDevPtr + i * size, hostPtr + i * size, size, cudaMemcpyHostToDevice, stream[i]); MyKernel <<<100, 512, 0, stream[i]>>> (outputDevPtr + i * size, inputDevPtr + i * size, size); cudaMemcpyAsync(hostPtr + i * size, outputDevPtr + i * size, size, cud...
memory_host[2] =520.25;checkRuntime(cudaMemcpyAsync(memory_device, memory_host,sizeof(float) *100, cudaMemcpyHostToDevice, stream));// 异步复制操作,主线程不需要等待复制结束才继续// 在CPU上开辟pin memory,并将GPU上的数据复制回来float* memory_page_locked =nullptr;checkRuntime(cudaMallocHost(&mem...
for (int i = 0; i < 2; ++i) { cudaMemcpyAsync(inputDev + i * size, inputHost + i * size, size, cudaMemcpyHostToDevice, stream[i]); MyKernel<<<100, 512, 0, stream[i]>>> (outputDev + i * size, inputDev + i * size, size); cudaMemcpyAsync(outputHost + i * size, outp...
cudaMemcpyAsync(hostPtr + i * size, outputDevPtr + i * size, size, cudaMemcpyDeviceToHost, stream[i]); } 每个流将其输入数组hostPtr的部分复制到设备内存中的数组inputDevPtr,通过调用MyKernel()在设备上处理inputDevPtr,并将结果outputDevPtr复制回hostPtr的相同部分。重叠行为描述了在本例中,根据设备...
void CUDART_CB my_callback(cudaStream_t stream,cudaError_t status,void * data) { printf("call back from stream:%d\n",*((int *)data)); } /// for(int i=0;i<N_SEGMENT;i++) { int ioffset=i*iElem; CHECK(cudaMemcpyAsync(&a_d[ioffset],&a_h[ioffset],nByte/N_SEGMENT,cudaMem...
cudaMemcpyAsyncNotes about all memcpy/memset functions: 1.Only async memcpy/set functions are supported 2.Only device-to-device memcpy is permitted 3.May not pass in local or shared memory pointers cudaMemcpy2DAsyncNotes about all memcpy/memset functions: 1.Only async memcpy/set functions are supp...
(5)相应的有个异步方式执行的函数cudaMemcpyAsync(),这个函数详解请看下面的流一节有关内容。 cudaFree() (1)函数原型:cudaError_t cudaFree ( void* devPtr )。(2)函数作用:与c语言中的free()函数一样,只是此函数释放的是cudaMalloc()分配的内存。 代码示例 test2_cudaMemcpy.cu #include <stdio.h>#...
参见cudamemset,cudamemset3d331.5.10 cudamemcpy名称cudamemcpy 在gpu和主机之间复制数据概要cudaerror_t cudamemcpy( void* dst,const void* src,size_t count,enum cudamemcpykind kind )cudaerror_t cudamemcpyasync( void* dst,const void* src,size_t count,enum cudamemcpykindkind,cudastream_t stream )说明...
cudaMemcpyAsync(void* dst_ptr, void* src_ptr, size_t count, cudaMemcpyKind kind, stream_t stream); //内存释放 cudaFree(void* ptr); 注意:所有的长度都要乘以数据类型的实际字节数。 接下来介绍第二步,启动核函数,通常所有在GPU执行的核函数都要编写在.cu文件中,通过对外提供C接口被调用。而核...