__global__函数声明的是核函数, 即Kernel Function, Kernel Function会分配到GPU的每一个线程上执行. Kernel Function可以调用__device__函数或者变量, 但不允许调用__host__函数或者变量, 因为CPU和GPU物理上相隔非常远, 数据过不来. 如下所示便是Kernel Function的定义和调用方式. 明显可以看出(ResultDataCUDA,...
Pinned memory(也称为 page-locked memory, pMem, non-pageable, non-swappable)是一种不能被操作系统分页 (swapped out, paged) 的内存。这种内存保存在物理内存中,它的一个显著特性就是不会被操作系统的虚拟内存管理机制移动到磁盘上的交换空间 (swap space)。在某些高性能计算和数据传输场景中很有用,比如 GPU...
上述核函数调用时,尖括号里面需要四个参数, 其中设置gridDim和blockDim,就定义了多少个thread并行执行,以及这些thread的排布(layout) kernel_function<<<dim3gridDim,dim3blockDim,size_tbytesSharedMemorySize,cudaStream_t stream>>>() gridDim: 多少个block blockDim: 每个block多少个thread bytesSharedMemorySize:...
void CPUFunction() { printf("This function is defined to run on the CPU.\n"); } __global__ void GPUFunction() { printf("This function is defined to run on the GPU.\n"); } int main() { CPUFunction(); GPUFunction<<<1, 1>>>(); cudaDeviceSynchronize(); } 1. 2. 3. 4. ...
The OS may move some of the memory pages into swap area as the GPU or CPU allocate or access memory. See Tegra app note on how to calculate total and free memory on Tegra. Note: Note that this function may also return error codes from previous, asynchronous launches. Note that this...
The function returns old(Compare And Swap). 即判断 address地址处的值 old 是否与compare 值相同, 如果相同,说明在计算val的期间,address处的值没有被别的线程修改过,将val 的值赋给address. 如果不同,说明在计算val期间,address处的值已经被别的线程修改,需要维持address处的值不变。 无论old 与compare ...
问在使用numba原子操作函数(cuda.atomic.compare_and_swap)时遇到问题EN原子操作是指一个或者多个不可再...
- Pointer to mode value to swap with the current mode Returns CUDA_SUCCESS, CUDA_ERROR_DEINITIALIZED, CUDA_ERROR_NOT_INITIALIZED, CUDA_ERROR_INVALID_VALUE Description Sets the calling thread's stream capture interaction mode to the value contained in *mode, and overwrites *mode with the previou...
Ray casting volume renderers shoot rays from the camera through each pixel in the output image which then intersect the cells in the volume and are combined via the transfer function to make a color for the pixel. The ray casting volume renderer is slower than the hardware accelerated methods...
__device__ __host__ function& operator=(_F&&);// swap__device__ __host__voidswap(function&)noexcept;// function capacity__device__ __host__ explicit operatorbool()constnoexcept;// function invocation__device__ _RetTypeoperator()(_ArgTypes...)const; ...