__global__ void float4Add(float4 A, float4 B, float4 C, int numElements) {。 int idx= blockIdx.x blockDim.x + threadIdx.x; if (idx < numElements) {。 C[idx].x = A[idx].x + B[idx].x; C[idx].y = A[idx].y + B[idx].y; ...
采用了float4进行访存的kernel如下: #define FETCH_FLOAT4(pointer) (reinterpret_cast<float4*>(&(pointer))[0]) __global__ void vec4_add(float* a, float* b, float* c) { int idx = (threadIdx.x + blockIdx.x * blockDim.x)*4; float4 reg_a = FETCH_FLOAT4(a[idx]); float4 reg_...
8位，16位）指令；2. IO方面，内存事物宽度16bit， 对于更宽的数据 如float2 float4 PTX层面支持64...
1)首先需要做的是将add函数变为GPU可运行函数,在CUDA中称为kernel,为此,仅需将变量声明符添加到函数中,告诉 CUDA C++ 编译器这是一个在 GPU 上运行并且可以从 CPU 代码中调用的函数。 __global__ voidadd(intn,float*x,float*y) { for(inti=0; i<n; i++)...
ADD_TO_PARAM_BUFFER(i, __alignof(i)); float4 f4; ADD_TO_PARAM_BUFFER(f4, 16); // float4's alignment is 16 char c; ADD_TO_PARAM_BUFFER(c, __alignof(c)); float f; ADD_TO_PARAM_BUFFER(f, __alignof(f)); CUdeviceptr devPtr; ...
void add_vector_cpu( float* a, float* b, float *c, int size ){ for( int i = 0; i < size; ++ i ) c[i] = a[i] + b[i];} 而main 的部分,則只需要呼叫函式就可以了: add_vector_cpu( dataA, dataB, dataC, data_size ); 在呼叫 add_vector_cpu 後,會在迴圈裡,把 dataA...
__global__ void VecAdd(float* A, float* B, float* C, int N) { int i = blockDim.x * blockIdx.x + threadIdx.x; if (i < N) C[i] = A[i] + B[i]; } // Host code int main() { int N = ...; size_t size = N * sizeof(float); ...
cudaChannelFormatKindFloat = 2 Float channel format cudaChannelFormatKindNone = 3 No channel format cudaChannelFormatKindNV12 = 4 Unsigned 8-bit integers, planar 4:2:0 YUV format cudaChannelFormatKindUnsignedNormalized8X1 = 5 1 channel unsigned 8-bit normalized integer cudaChannelFormatKindUn...
cudaMallocManaged(&y, N*sizeof(float)); 同时,在程序最后使用cudaFree()进行内存释放: cudaFree(x);cudaFree(y); 其实就相当于C++中的new跟delete。 3. add函数在GPU端运行之后,CPU需要等待cuda上的代码运行完毕,才能对数据进行读取,因为CUDA内核启动时并未对CPU的线程进行固定,需要使用cudaDeviceSynchronize(...
/home/tegra/ok3d/ollama-container/dev/ollama/llm/llama.cpp/ggml-cuda.cu(6324): error: more than one conversion function from "__half" to a built-in type applies: function "__half::operator float() const" /usr/local/cuda/targets/aarch64-linux/include/cuda_fp16.hpp(204): here func...