I see that you also avoid using cudaMallocPitch and cudaMemCpy2D to do the 2D matrix addition. :) I did also the same and now everything works fine. However it would be nice to know how to use these 2D functions. If anyone has a solid example on these functions, it would be nice ...
My last CUDA C++ post covered the mechanics of using shared memory, including static and dynamic allocation. In this post I will show some of the performance…
cudaMemcpy(c[i], c_d_host[i], sizeof(float)*N, cudaMemcpyDeviceToHost); }[/codebox] your kernel function do “matrix addition”, not “matrix multiplication” you can use 1-D array with 2-D logical index, this is more simple Whitchurch2009 年9 月 18 日 14:103 Thank you Lung S...
Figure 2. Performance comparison of forward pass implementations Figure 2 shows performing matrix multiplication of float16 matrices of sizes (65536,16384)(16384, 8192), followed by bias addition and ReLU. The performance is measured on an NVIDIA H200 GPU. Optimizing the backward pass with the D...
A simple benchmark is conducted to test the performance of our package, as shown below. We compared the performance ofCuTropicalGEMM.jl,GemmKernels.jland direct CUDA.jl map reduce on Tropical GEMM with singleprecision. The test is done on using NVIDIA A800 80GB PCIe, and the performance of...
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CUDA实现矩阵乘 对比 参考资料: 向量和Vector Addition Triton实现向量和 import torch import triton import triton.language as tl @triton.jit def add_kernel(x_ptr, # *Pointer* to first input vector. y_ptr, # *Pointer* to second input vector. output_ptr, # *Pointer* to output vector. n_ele...
It accounts for any padding declared using LeadingDimension Operator. For simplicity, in the example we allocate managed memory for device matrices, assume that Volta architecture is used, and don’t check CUDA error codes returned by CUDA API functions. In addition, the function which copies ...
The threads of a given block can cooperate amongst themselves using barrier synchronization and a per-block shared memory space that is private to that block. We focus on the design of kernels for sparse matrix-vector multiplication. Although CUDA kernels may be compiled into sequential code that...
Additionally, aplications can guide the driver using cudaMemAdvise and explicitly migrate memory using cudaMemPrefetchAsync. Note also that unified memory examples, which do not call cudaMemcpy, require an explicit cudaDeviceSynchronize before the host program can safely use the output from the GPU....