""")# 定义Python函数运行CUDA内核defrun_cuda_square(input_array):num_elements=input_array.size d_input=cuda.mem_alloc(input_array.nbytes)d_output=cuda.mem_alloc(input_array.nbytes)# 将输入数据从主机复制到设备cuda.memcpy_htod(d_input,input_array)# 设置块和线程的数量block_size=256grid_size=...
// Retrieve and print output. CUDA_SAFE_CALL(cuMemcpyDtoH(hOut, dOut, bufferSize)); for(size_ti = 0; i < n; ++i) { std::cout << a <<" * "<< hX[i] <<" + "<< hY[i] <<" = "<< hOut[i] <<'\n'; } // Release resources. CUDA_SAFE_CALL(cuMemFree(dX)); CUDA...
问为什么我在CUDA中收到cuMemcpyDtoH_v2的未定义符号错误EN作者 | Mohamed Barouma 译者 | 王强 策划...
The upside is that if you have a lot of compute in your kernel then the migrations can be amortized or overlapped with other computation, and in some scenarios Unified Memory performance may even be better than a non-overlapping cudaMemcpy and kernel approach. In my simple example there is ...
35.00%110.24us1110.24us110.24us110.24us [CUDA memcpy DtoH] 5.08%16.000us116.000us16.000us16.000us matrix_add(float*, float*, float*, int, int) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 一维网格和一维块 接着我们使用一维网格一维块:
cuMemcpyDtoH((void *) pC, pDeviceMemC, cnDimension *sizeof(float)); delete[] pA; delete[] pB; delete[] pC; cuMemFree(pDeviceMemA); cuMemFree(pDeviceMemB); cuMemFree(pDeviceMemC); OpenCL的代码以文本方式存放在“sProgramSource”。 调用方式如下: ...
cuda.memcpy_dtoh(C, C_gpu) print("Result:\n",C) print("耗时%s" %(time.time() - start)) Result: [[219468. 214786. 230702. ... 245646. 236251. 250875.] [227736. 221473. 224950. ... 247127. 247688. 246141.] [223986. 193710. 221462. ... 231594. 245623. 234833....
4.194 24 0.175 0.033 0.004 1.044 0.307 [CUDA Unified Memory memcpy DtoH] 3.2 gprof 在优化CPU计算时,充分利用gprof工具。gprof 可以分析出在主机上运算的函数/API的耗时时间。由于gprof是linux自带的工具,使用简单,步骤如下 编译的时候加上 -pg 参数 ...
Type Time(%) Time Calls Avg Min Max Name GPU activities: 98.65% 60.8587s 300 202.86ms 189.54ms 304.60ms [CUDA memcpy HtoD] 0.65% 398.54ms 300 1.3285ms 1.2460ms 2.9135ms [CUDA memcpy DtoH] 0.26% 157.32ms 100 1.5732ms 1.5677ms 1.5803ms reduce_global(double*, double*) 0.22% 137.32ms 100...
驱动程序api应用程序可以使用函数cuModuleGlobal()查询常量内存的设备指针。由于驱动程序api不包括cuda运行时的语言集成特性。驱动程序api不包括像cudaMemcpyToSymbol()这样的特殊内存复制函数。所以必须使用cuModuleGetGlobal()查询地址,之后使用cuMemcpyHtoD()或cuMemcpyDtoH(). ...