所以 CUDA 会默认将一个 warp 拆分为两个 half warp，每个 half warp 产生一次 memory transaction。即...
size); float* d_C; cudaMalloc(&d_C, size); // Copy vectors from host memory to device memory cudaMemcpy(d_A, h_A, size, cudaMemcpyHostToDevice); cudaMemcpy(d_B, h_B, size, cudaMemcpyHostToDevice); // Invoke kernel int threadsPerBlock = 256; int blocks...
cudaMemcpyToSymbol(devData, &value, sizeof(float)); __device__ float* devPointer; float* ptr; cudaMalloc(&ptr, 256 * sizeof(float)); cudaMemcpyToSymbol(devPointer, &ptr, sizeof(ptr)); cudaGetSymbolAddress()用于检索指向为全局内存空间中声明的变量分配的内存的地址。 分配内存的大小是通过cud...
(float)*Width, cudaMemcpyHostToDevice); cudaMemcpy(d_M, M, sizeof(float)*Mask_Width, cudaMemcpyHostToDevice); convolution_1D_basic_kernel<<<dimGrid, dimBlock>>> (d_N, d_M, d_P, Mask_Width, Half_Mask_Width, Width); cudaMemcpy(P, d_P, sizeof(float)*Width, cudaMemcpyDeviceTo...
# Convert the tensor shapes to 2Dforexecution compatibility #将grad_output张量的形状转化为2D,以确保兼容性。 grad_output=grad_output.view(grad_output.shape[0]*grad_output.shape[1],grad_output.shape[2])# 同样地,将total_input张量也转化为2D。
而从8-bit或者16-bit或者其他整数类型转换成float的时候, 吞吐率就只有16条/SM/周期了, 相当于在7.X上转换本身只有常规计算的1/4的性能. 甚至这点在8.6上更加糟糕, 因为8.6的双倍速的float运算, 导致如果你读取一个普通的8-bit或者16-bit整数(u)int8/16_t, 然后进行一次手工到float的转换, 相当于大约等...
half data; __host__ __device__ myfloat16(); __host__ __device__ myfloat16(doubleval); __host__ __device__ operatorfloat()const; }; __host__ __device__ myfloat16 operator+(constmyfloat16 &lh,constmyfloat16 &rh); __host__ __device__ myfloat16 hsqrt(constmyfloat16...
3 channel signed half-float block-compressed (BC6H compression) format cudaChannelFormatKindUnsignedBlockCompressed7 = 29 4 channel unsigned normalized block-compressed (BC7 compression) format cudaChannelFormatKindUnsignedBlockCompressed7SRGB = 30 4 channel unsigned normalized block-compressed (BC7 com...
▶ Fixed a bug when inspecting the value of half registers. 11.0 Release Updated GDB version CUDA-GDB has been upgraded from GDB/7.12 to GDB/8.2. Support for SM8.0 CUDA-GDB now supports Devices with Compute Capability 8.0. Support for Bfloat16 Support for Bfloat16 (__nv_bfloat16) ...
This tool will help you to convert your program from the version usingfloattohalfandhalf2. It is written in Clang libtooling (version 4.0) because that is the only option I can find to parse CUDA code easily for now. All contribution and pull requests are welcome. ...