Shared memory __syncthreads() Asynchronous operation Handling errors Managing devices CONCEPTS . CUDA Programming: Complete syntax of CUDA Kernels - Blogger public CudaKernel(string kernelName, CUmodule module, CudaContext cuda, uint blockDimX, uint blockDimY, uint blockDimZ) . Invokes the kernel f on a gridDimX x gridDimY x gridDimZ grid of blocks. . CUDA Programming: Using Shared Memory in CUDA C/C++ PDF CUDA C/C++ Basics - Nvidia In the CUDA model, the programmer defines the kernel function. Class CudaKernel | ManagedCuda.NETStandard - GitHub Pages We allocate space in the device so we can copy the input of the kernel ( a & b) from the host to the device. cuda - Is it worthwhile to pass kernel parameters via shared memory ... (cuda-gdb) p shared $1 = 0x40 <Address 0x40 out of bounds> (cuda-gdb) p test_shared $2 = (@global float * @register) 0x40 /* step program until all threads write to shared memory */ (cuda-gdb) p test_shared [0] $3 = 1.72208689e-22 (cuda-gdb) p test_shared [1] $4 = 3.33029199 The top 2 optimization priorities for any CUDA programmer are: make efficient use of the memory subsystems. CUDA Memory Lifetimes and Scopes • __device__ is optional when used with __local__, __shared__, or __constant__ • Automatic variables without any qualifier reside in a register. CUDA Driver API :: CUDA Toolkit Documentation Parameters. NVIDIA CUDA Library: cudaThreadSetCacheConfig CUDA Programming: Complete syntax of CUDA Kernels - Blogger function parameter vs constant memory - CUDA Programming and ... Each block contains blockDimX x blockDimY x blockDimZ threads.. sharedMemBytes sets the amount of dynamic shared memory that will be available to each thread block.. cuLaunchKernel() can optionally be associated to a stream by passing a non-zero hStream argument.