Kernel Configuration Kernel time esecution This is the pie chart showing the execution times of the various kernel device function and data transfer memcpy routines on 720p image resolution. Kernel time esec
Realizing actual compression savings for applications other than networking would involve an additional memory allocation and memcpy to a new exactly sized buffer. Performance Performance depends upon many factors, including entropy of the input data (higher entropy = more ANS stack memory operations = ...
myKernel<<< numBlocks,threadsPerBlock >>>( pImg_d, value ); cutilSafeCall( cudaMemcpy( image, pImg_d, byteCount, cudaMemcpyDeviceToHost ) ); cudaFree( pImg_d ); } what in fact gives me a better result: CPU Set: 3.196447 (ms) GPU Set: 2.764229 (ms) However, I a...
Here, we present a software package called Prismatic for parallelized simulation of image formation in scanning transmission electron microscopy (STEM) using both the PRISM and multislice methods. By distributing the workload between multiple CUDA-enabled GPUs and multicore processors, accelerations as ...
Basically, the memory transfer between the GPU and CPU is performed through the cudaMemcpy function. This is a synchronous data transfer function. In other words, if the cudaMemcpy function is used, the memory copy does not start until all previously existing CUDA calls have completed, and ...
cudaMemcpyHostToDevice); cudaMemcpy(gpu_A_data, (void *)A_data, A_size[0] * A_size[1] * A_size[2] * sizeof(double), cudaMemcpyHostToDevice); cudaMemcpy(gpu_B_data, (void *)B_data, B_size[0] * B_size[1] * B_size[2] * sizeof(double), cudaMemcpyHostToDevice); cuda...
myBatchMatMul_kernel1<<<dim3(2U, 1U, 1U), dim3(512U, 1U, 1U)>>>(*gpu_A2, *gpu_A1, *gpu_input_cell_f2, *gpu_input_cell_f1); cudaMemcpy(gpu_B2, (void *)&B2[0], 10080UL, cudaMemcpyHostToDevice); cudaMemcpy(gpu_B1, (void *)&B1[0], 10080UL, cudaMemcpyHostToDevice);...
cudaMalloc 22.8 92865680 2 46432840.0 44841150 48024530 cudaMemcpy 4.5 18405301 2 9202650.5 25789 18379512 cudaLaunchKernel 0.4 1467989 2 733994.5 473054 994935 cudaFree Generating CUDA Kernel Statistics... Generating CUDA Memory Operation Statistics... CUDA Kernel Statistics (nanoseconds) Time(%) Total ...
as well as device memory for the part of matrix B and C on each device. The memcpys are done in separate streams for each device for faster allocation. Once memory is allocated, CuSPARSE functioncusparseDcsrmmis called on each device to perform multiplication on each device. Once the multipl...
0.03% 756.90us 4 189.22us 1.0560us 747.58us [CUDA memcpy HtoD] 0.00% 6.5920us 4 1.6480us 1.5680us 1.8240us [CUDA memset] API calls: 51.35% 2.84516s 10 284.52ms 6.3620us 2.84472s cudaMalloc 40.92% 2.26722s 50000 45.344us 3.2740us 404.83us cudaLaunchKernel ...